Abstract: The present subject matter relates to a method of predicting a traffic behaviour in a road system, comprising the following steps carried out by at least one processor connected to a database, which contains a set of traffic profiles: clustering the traffic profiles; calculating a significance value; if the significance value of a tag is higher than a threshold value, assigning this tag as a characteristic vector to this cluster; receiving a request having one or more request tags; determining a cluster by means of matching the request tag/s to the characteristic vectors of the clusters; and outputting a predicted traffic behaviour based on the determined cluster.

Abstract: Systems and techniques are described for identifying, monitoring, and sharing vehicle information amongst sensors. In some implementations, a system includes a central server and a plurality of sensors. The plurality of sensors are positioned in a fixed location relative to a roadway. Each sensor in the plurality of sensors is configured to: detect vehicles in a first field of view on the roadway. For each detected vehicle, each sensor is configured to identify features of the detected vehicle and perform operations for each feature. The operations include generating feature data representing the feature, generating a unique identification of the detected vehicle from the detected vehicles by concatenating the feature data representing the identified features of the detected vehicle, and adding the unique identification to a list.

Abstract: Systems and methods of traffic light detection/perception are provided for detecting traffic lights states and/or transitions for different traffic light layouts. Basic traffic light information can be obtained regarding, e.g., the existence of a traffic light(s) at an intersection being approached by a vehicle, and which bulb(s) may apply to/control a particular lane of traffic at the intersection. Based on that information, bulb-specific or bulbwise detection can be performed. Upon determining the existence of a traffic light, specific bulbs within or making up the traffic light can be detected, and their various states can be predicted or estimated relative to a corresponding bulb group. The various states can then be simplified and output as a message(s) upon which autonomous control of a vehicle can be based.

Abstract: Methods and systems for a graduated process of increasing bandwidth and increasing complexity to identify and confirm a location of a target vehicle based on information received from motor vehicles are described. In one embodiment, a method for detection of a target vehicle includes requesting, from one or more remote devices in a geographic area, information associated with a target vehicle. The method also includes receiving, from the one or more remote devices, information associated with the target vehicle. The method further includes determining whether the received information associated with the target vehicle matches the requested information. Upon determining that the received information matches the requested information, the method includes increasing at least one of a bandwidth or a complexity level of the requested information associated with the target vehicle and decreasing the geographic area associated with the request.

Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.

Abstract: A video recording control device includes a data acquisition unit that acquires video data captured by a camera, a traffic guide information acquisition unit that acquires traffic guide information, a different vehicle information detection unit that recognizes a different vehicle from the video data and detects a position and a moving direction of the recognized different vehicle, a traffic guide information correspondence determination unit that associates traffic guide information with the different vehicle, based on the position and the moving direction of the different vehicle, an event detection unit that detects an event in which the different vehicle is involved, and a storage control unit that stores video data corresponding to a period including at least an event occurrence time, with inclusion of the traffic guide information determined by the traffic guide information correspondence determination unit as the traffic guide information that the different vehicle needs to obey.

Abstract: A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.

Abstract: An apparatus in an illustrative embodiment comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to receive a request comprising one or more identifiers of a particular user device detected by at least one access point in communication with the user device, to retrieve a profile of the particular user device based at least in part on the one or more identifiers of the request, to determine from the retrieved profile contact information of the user device, to generate based at least in part on the retrieved profile at least one message requesting at least one privacy-related permission from a user associated with the user device, and to send the message to the user device over a communication channel determined from the contact information. Other illustrative embodiments include methods and computer program products.

Abstract: A method for monitoring a gauge uses a machine learning model that was previously trained based on a set of training data to classify relative indicator positions between any pair of gauge images. The method receives an input indicative of a first reference gauge value and a first gauge image. The method classifies, using the machine learning model, the indicator position on the first gauge image relative to the indicator position on a first reference gauge image associated with the first reference gauge value and provides an output having a first value indicative of the indicator position of the first gauge image being on a first side of the indicator position of the first reference gauge image and a second value indicative of the indicator position of the first gauge image being on a second side of the indicator position of the first reference gauge image.

Abstract: According to an embodiment of the disclosure, a method for providing a parking service by a server configured to provide the parking service comprises obtaining a vehicle image from a closed-circuit television (CCTV) camera installed on each of both sides of each parking section of a parking lot in a direction facing a vehicle entering to capture an inside of the parking section in a direction perpendicular to an parking orientation of the vehicle, extracting a license plate of the vehicle from at least one frame included in the obtained vehicle image and tracking a trajectory of an XY-coordinate point of each vertex of the extracted license plate, detecting a time when the trajectory of the XY-coordinate point changes from a linear trajectory to a non-linear trajectory and grouping at least one frame obtained before the time into an image for the vehicle, and mapping and storing at least one license plate number recognized from the at least one frame grouped as a license plate number of the vehicle.

Abstract: An Intelligent Transportation System, ITS, service station is disclosed. The ITS service station has: a receiver having an area of radio coverage and configured to receive a first Collective Perception Message, CPM, from a first ITS station at a first position within the coverage area, the first CPM including first sensor data on at least one first free space area perceived by the first ITS station; an aggregator configured to aggregate said first sensor data with at least one second sensor data on at least one second free space area into a third sensor data, which second sensor data is received via the receiver in a second CPM from a second ITS station at a second position within the coverage area or is determined by a sensor of the ITS service station; and a transmitter configured to broadcast said third sensor data in a third CPM.

Abstract: A method of adjusting the brightness of an illuminator in a processing apparatus includes, by a first processing apparatus, storing a sample image obtained by photographing a workpiece with a brightness specified by a first control value, together with the first control value, copying the sample image, the first control value and a processing condition to a second processing apparatus, by the second processing apparatus, storing a plurality of comparative images obtained by photographing the workpiece with brightnesses specified by a plurality of different control values, identifying a control value at a time of photographing a comparative image having a minimum difference in brightness from the sample image as a second control value, by comparing the sample image with the plurality of comparative images, and setting a difference between the first and second control values as a correction value of the control value of the second processing apparatus.

Abstract: In one embodiment, a safety system for playing vehicle monitored content in a vehicle while minimizing driver distraction is provided. When the driver selects a camera, such as a rear view camera, vehicle monitored content stream from the camera is displayed on a display in the vehicle. While the driver drives the vehicle, the eye-gaze of the driver is monitored. When the eye-gaze of the driver shows that the driver is looking at the display, a timer is started. The timer runs when the driver looks at the display. When the eye-gaze of the driver shows that the driver has looked at the road continuously for more than a threshold amount of time, the time associated with the vehicle monitored content is reset back to its initial value. If the timer runs out, indicating that the driver has been watching the vehicle monitored content too much without also looking at the road, the vehicle monitored content is stopped and the driver is prevented from watching the vehicle monitored content for some period of time.

Abstract: A pollution estimation system (100) for estimating pollution level caused by exhaust gas of motor vehicles is provided. The system comprises an acoustic sensor interface (110) arranged to obtain use-data from an acoustic sensor comprising an audio sample of a motor vehicle sound and a trained exhaust gas model unit (120) arranged to receive as input the audio sample of the use-data and to apply a trained exhaust gas model to the received audio sample to produce an estimated pollution level associated with the received audio sample. The trained exhaust gas model has been obtained by training an exhaust gas model on multiple training items using a machine learning algorithm, the multiple training items comprising multiple audio samples of motor vehicle sounds obtained from one or more acoustic sensors and associated pollution levels.

Abstract: Devices, systems and methods for operating a rear-facing perception system for vehicles are described. An exemplary rear-facing perception system contains two corner units and a center unit, with each of the two corner units and the center unit including a camera module and a dual-band transceiver. A method for operating the rear-facing perception system includes pairing with a control unit by communicating, using the dual-band transceiver, over at least a first frequency band, transmitting a first trigger signal to the two corner units over a second frequency band non-overlapping with the first frequency band, and switching to an active mode. In an example, the first trigger signal causes the two corner units to switch to the active mode, which includes orienting the camera modules on the center unit and the two corner units to provide an unobstructed view of an area around a rear of the vehicle.

Abstract: Provided are an inexpensive and safe moving object detection apparatus and moving object detection method that enable accurate detection of a moving object from an image sequence captured by a monocular camera at a high speed. A representative configuration of the moving object detection apparatus according to the present invention is provided with a horizon line detection unit that detects a horizon line in a frame image, an edge image generation unit that generates an edge image from a frame image, and a moving object detection unit that sets a detection box on a moving object, and the edge image generation unit extracts an edge image below a horizon line detected by the horizon line detection unit, and the moving object detection unit generates a foreground by combining the difference between the edge image below the horizon line and a background image of the edge image with the difference between a gray scale image and a background image of the gray scale image.

Abstract: A device includes an illuminance information referring unit configured to refer to an illuminance information database that stores therein illuminance information indicating illuminance at each of positions in a lighting device installed place in which lighting devices are installed, an identification information acquiring unit configured to acquire identification information for identifying the lighting device installed place in which a vehicle travel, and a display controller configured to cause a projection device of a head-up display device to project a virtual image. The display controller is further configured to control luminance of the virtual image projected by the projection device in accordance with the illuminance information at each of the positions in the lighting device installed place based on the illuminance information referred to by the illuminance information referring unit and the identification information acquired by the identification information acquiring unit.

Abstract: An information processing apparatus comprising a calculation unit configured to determine a type of each vehicle included in an image obtained by capturing a first area where vehicles stand by, and calculate the first number of vehicles of each type, a decision unit configured to decide, in accordance with the first number of vehicles of each type, notification information concerning workers to be allocated in a second area where a predetermined work that changes in accordance with the type of the vehicle is conducted, and an output unit configured to output the notification information.

Abstract: A method of electronic tolling for a vehicle travelling on a road surface includes providing a single camera or a single array of cameras, arranging the single camera or the single array of cameras to have a field-of-view that is normal to the road surface and is defined by a plane that is parallel with the road surface, and capturing multiple images of the front, side, top and rear of the vehicle using the single camera or the single array of cameras in the field-of-view. The set of multi-perspective images can be used to identify a vehicle by reading the front and rear license plate and to determine a classification of the vehicle. The images may also be used to track the position of the vehicle on the road surface as the vehicle traverses the field-of-view.

Abstract: One general aspect includes a system to detect a sufficient charging cable connection, the system including a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to carry out the steps of: capturing an image of at least a portion of a vehicle body; determining whether the image includes a charging cable being sufficiently engaged with the portion of the vehicle body; and based on the determination of whether the image includes the charging cable being sufficiently connected to the portion of the vehicle body, producing a connection notification.

Abstract: Some embodiments provide a vehicle that includes a protection system configured to mitigate hazards to vehicle occupants posed by dynamic elements located within proximity of the vehicle. The vehicle can, in response to determining that a dynamic element is moving along a trajectory that intersects a sweep volume of a vehicle portal, can selectively restrict operation of the portal so that an occupant is restricted from opening the portal into a volume through which the dynamic element may pass. The vehicle can restrict portal operation in response to detecting external dynamic elements that are not within an occupant's field of vision. The vehicle can communicate a limited selection of vehicle sensor data, including representations of a detected dynamic element, to a user device supporting an authorized user in response to detecting that the dynamic element is located within a certain proximity of the vehicle.

Abstract: A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.

Abstract: An operator interface for controlling one or more autonomous vehicles. The operator interface is configured to generate a graphical rule creation interface (GRCI) for an operator. The GRCI is displayable to and interactive with the operator for allowing the operator to input instructions. The operator interface is further configured to compile a rule set for governing operations of the one or more autonomous vehicles from instructions inputted by the operator via the GRCI and to upload the rule set to memory units of each of the one more autonomous vehicles to supersede previously installed rule sets.

Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.

Abstract: Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

Abstract: An aircrew automation system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies that pilot of any deviations in expected state based on predictive models. The aircrew automation may be provided as a non-invasive ride-along aircrew automation system that perceives the state of the aircraft through visual techniques, derives the aircraft state vector and other aircraft information, and communicates any deviations from expected aircraft state to the pilot. The aircrew automation may also monitor pilot health and, when needed, function as a robotic co-pilot to perform emergency descent and landing operations.

Abstract: A vehicular collision mitigation method includes providing a plurality of cameras, a non-imaging sensor, and a control that processes data captured by the cameras and non-imaging sensor. When the equipped vehicle is traveling forward, and responsive at least in part to determination that the equipped vehicle is approaching an object forward of the equipped vehicle, braking by an automatic emergency braking system of the equipped vehicle is controlled to mitigate collision with the object present forward of the equipped vehicle. Responsive to determination that a following vehicle is following the equipped vehicle and that the determined following vehicle is within a threshold distance from the equipped vehicle and is approaching the equipped vehicle above a threshold rate of approach, braking by the automatic emergency braking of the equipped vehicle is adjusted to mitigate collision at the rear of the equipped vehicle by the determined following vehicle.

Abstract: An ECU detects an object which is present in a surrounding area based on an image captured by an imaging unit. In particular, the ECU includes: a lateral width calculation section which calculates, as an image lateral width, a size of the object in a lateral direction relative to an imaging axis direction of the imaging unit based on the image and dictionary information for object identification prepared in advance; a maximum value determination section which determines whether a current value of the image lateral width calculated by the lateral width calculation section is a maximum value in comparison to a calculation history of the image lateral width; and a lateral width update section which updates an object width which is a lateral width of the object by setting, as the object width, the image lateral width having the maximum value in the calculation history.

Abstract: An image generation apparatus that generates an image notifying an occupant of a vehicle about a notification target located in a traveling direction of the vehicle, and outputs a virtual image of the image to a head-up display device that displays the virtual image while superimposing the virtual image on a foreground of the vehicle. The image generation apparatus includes: a target information acquisition part that obtains positional information and a moving direction of the notification target; an image generation part that generates a ripple image displayed by the head-up display device while superimposed on a road surface where the notification target is located when the target information acquisition part obtains at least one positional information; and a subject vehicle information acquisition part that obtains a traveling speed. The image generation part stops generation of the ripple image when the traveling speed exceeds a threshold speed specified beforehand.

Abstract: A vehicle control apparatus configured to perform driving aid control using map information stored in a storage, where the map information includes attribute information concerning roads on which a vehicle carrying the apparatus may travel and widths of the respective roads. In the vehicle control apparatus, a road recognizer is configured to recognize a travelled road that is a road on which the own vehicle is traveling. An information acquirer is configured to acquire the attribute information of the travelled road. An image acquirer is configured to acquire an image captured by the imager. A search range setter is configured to, using the attribute information acquired by the information acquirer, set a search range in the captured image for searching for a road border that is an edge or a demarcation line of the travelled road. A border recognizer is configured to recognize the road border in the search range.

Abstract: A method for collecting and storing vehicle sensor data of at least one sensing system of a vehicle in order to detect an incident, accident and/or scam, said method comprising the steps of: (1) continuously collecting and storing a first set of vehicle sensor data for a preceding first pre-definable time period at least when the vehicle is in motion and/or when a door or trunk of the vehicle is open, (2) collecting and storing a second set of vehicle sensor data for a coming second pre-definable time period when at least one of the following occurs: the vehicle is brought to standstill, the door or trunk of the vehicle is being closed, or the vehicle drives away from standstill after being parked. Furthermore, the present disclosure relates to a corresponding system, computer product and a computer-readable storage medium storing a program which causes a computer to execute the method.

Abstract: The present invention discloses methods, systems and computer programmable products for detecting license plates and recognizing characters in the license plates. The system receives an image and identifies one or more regions including a license plate. The one or more regions are converted into a plurality of binarized images, which are then filtered to remove noise. Next, one or more clusters of characters are identified in the plurality of binarized images. The one or more clusters of characters are analyzed to recognize a set of characters, wherein each character in the set includes a confidence value.

Abstract: Disclosed are methods and apparatuses for indicating a lane, the method including detecting a lane marking from an input image, acquiring a bird's eye view image by applying an inverse perspective mapping to the detected lane marking, extracting control points corresponding to the lane marking from the bird's eye view image, and indicating a lane by re-projecting the control points to a space of the input image through an inverse transformation.

Abstract: Embodiments are directed towards protecting against polymorphic cheat codes in a video game environment. A detour analyzer analyzes game code in client memory for possible hooks to parasite code. For each detected hook to parasite code, hook and/or parasite information is determined to generate a hook/parasite signatures, which are sent to a remote network device. Based on the hook/parasite signatures a weighted combination of scores are generated that is useable to determine a probability value that the parasite code is cheat code. If the determined probability value indicates cheat code, the user of the client device may be banned from future game play. Additionally, the hook/parasite signature information may be used to update the data store to detect polymorphic changes in the cheat code.

Abstract: A vehicle is provided that includes a safety system that can provide an alert, external to the vehicle, that can warn other vehicles, people, etc. that a driver and/or passenger(s) are exiting the vehicle. Methods and systems determine when an occupant of a vehicle is about to exit by sensing the exit movement or an exit sequence, which may be detected by internal vehicle sensors. In response to the exit sequence, the vehicle may control one or more alert features, associated with the vehicle, to provide an external alert to other vehicles and/or users outside of the vehicle that a driver and/or passenger(s) is/are about to exit.

Abstract: An object detection device includes: an optical flow calculator to calculate an optical flow between images captured by the image capturer at different times; an evaluation value calculator to divide the image captured by the image capturer into areas, and calculate, for each divided area, an evaluation value by using the optical flows of pixels belonging to the divided area, the evaluation value indicating a measure of a possibility that the divided area is an object area representing part or whole of the object to be detected; and an area determinator to determine an area in an image, in which the object to be detected exists, by comparing the evaluation value of each divided area calculated by the evaluation value calculator with a threshold value.

Abstract: A computer is programmed to identify a vehicle in an infrared image, determine a body type of the vehicle based on the infrared image, and predict coordinates of one or more vehicle elements based at least on the determined body type. The computer is further programmed to then perform a plurality of LIDAR sensor sweeps and, based on the LIDAR sensor sweeps, determine whether the vehicle elements are at the predicted coordinates.

Abstract: Embodiments of the disclosure provide traffic control systems and methods. The traffic control system may include a communication interface configured to receive vehicle trajectory data acquired by sensors and traffic control data from traffic signal controllers. The traffic control system may further include at least one processor. The at least one processor may be configured to detect an abnormal traffic condition. The at least one processor may be further configured to optimize an online traffic control scheme based on the vehicle trajectory data by adjusting green splits for a plurality of phases. The at least one processor may be also configured to provide, in real-time, the optimized online traffic control scheme to a traffic signal controller for generating traffic control signals.

Abstract: A mounting structure for mounting a rear view camera on a vehicle includes a mounting bracket for mounting to the vehicle, a camera support structure mounted on a camera mounting plate of the bracket, where the camera support structure has a shaft that extends perpendicularly to the camera mounting plate, with a slanted surface at its distal end where the camera is mounted, and an outer housing that covers the camera mounting plate, the camera support structure, and the camera except for the camera lens. The outer housing has a portion that conforms to the shape of the shaft of the camera support structure, with an opening at its distal end to expose the camera lens.

Abstract: The automatic generation of one or more secondary video streams based on an input primary video stream may use analytics performed on the video to provide information on targets, events, and/or areas of interest to permit the one or more secondary video streams to concentrate on one or more targets, events and/or areas of interest.

Abstract: A method for displaying video images includes providing a plurality of cameras and an electronic control unit at the vehicle. One of the cameras functions as a master camera and other cameras function as slave cameras. During a forward driving maneuver of the vehicle, the forward viewing camera functions as the master camera and at least the driver-side sideward viewing and passenger-side sideward viewing cameras function as slave cameras, during a reversing maneuver of the vehicle, the rearward viewing camera functions as the master camera and at least the driver-side sideward viewing and passenger-side sideward viewing cameras function as slave cameras. Exposure, gain and white balance parameters of the master camera are used at least by the master camera and the slave cameras. A composite image is displayed, with adjacent image sections of the composite image appearing uniform in brightness and/or color at the borders of the image sections.

Abstract: Automatic steering control is essential part for autonomous vehicle which controls the steering in various scenarios to achieve safe and comfortable driving. The present subject matter discloses a system and method for steering control during autonomous vehicle driving using neural networks. In an embodiment, a lane side offset, a radius of curvature and a speed of a vehicle are received. Further, an ideal steering angle required to keep the vehicle at a center of a lane is determined using the radius of curvature. Furthermore, an offset error is determined based on the lane side offset using a reference offset. In addition, a corrective steering angle is determined using the radius of curvature, speed of the vehicle and offset error. Also, a steering angle required to keep the vehicle at a center of a lane is computed using the ideal steering angle and the corrective steering angle.

Abstract: Various aspects of a system and method for driving assistance along a path are disclosed herein. In accordance with an embodiment, a unique identifier is received from a communication device at an electronic control unit (ECU) of a first vehicle. The unique identifier is received when the first vehicle has reached a first location along a first portion of the path. A communication channel is established between the first vehicle and the communication device based on the received unique identifier. Data associated with a second portion of the path is received by the ECU from the communication device based on the established communication channel. Alert information associated with the second portion of the path is generated by the ECU based on the received data.

Abstract: Decision making speed of a human is improved by presenting data to the human in ways that enable the human to receive the data at higher rates, and spend more time analyzing received data. The data may represent information, such as infrared imagery or map data, that is not directly perceivable by the human. An individual datum may be presented to the human via multiple senses, to make receiving the datum easier, and to make it more likely that the datum is received, especially in contexts where the human may be busy, stressed, cognitively loaded or distracted by other demands on the human's attention. Some embodiments automatically select which sense or combination of senses to use for presenting each datum, based on various factors, such as how the human's current environment may interfere with the human's ability to receive or process the datum or how busy a given sense is.

Abstract: A work region evaluating system includes an imaging unit and a processing unit. The processing unit includes an image processing section that converts a three-dimensional image of a vehicle body component recorded by the imaging unit to three-dimensional image data, an extraction section that extracts work regions and reference regions respectively from both the three-dimensional image data and three-dimensional design data, an alignment section that aligns the three-dimensional image data with the three-dimensional design data with reference to the reference regions, and an evaluation section that evaluates a relation between the work region extracted from the three-dimensional image data and the work region extracted from the three-dimensional design data, based on the three-dimensional image data and the three-dimensional design data which are aligned with each other by the alignment section.

Abstract: In an object detection device, a distance image generation part generates a distance image based of a pair of brightness images transmitted from a stereo camera. A road surface estimation part estimates a road surface based on the generated distance image. An object detection part groups together positions having a distance value located on/over the estimated road surface and satisfying a predetermined relationship, and detects an object based on the grouped positions. An abnormality detection part detecting occurrence of image abnormality in the brightness image captured during a current detection period. The road surface estimation part estimates the road surface at the current detection period based on the road surface estimated at the previous detection period when the abnormality detection part detects the occurrence of image abnormality in the brightness image captured during the current detection period.

Abstract: A collision mitigation system for a vehicle includes a plurality of cameras, a radar sensor and/or lidar sensor, and a control that may process data captured by the cameras, radar sensor and/or lidar sensor. When the vehicle is moving and responsive at least in part to a determination that the vehicle is approaching an object present forwardly of the vehicle, the control is operable to control application by an automatic emergency braking system of a vehicle brake of the vehicle to mitigate collision with the object. Responsive to determination that a following vehicle is following the vehicle and when the determined following vehicle is within a threshold distance from the vehicle and is approaching the vehicle above a threshold rate of approach, the control adjusts automatic emergency braking of the vehicle to mitigate collision at the rear of the vehicle by the determined following vehicle.

Abstract: An investigation assist device is connected to cameras installed at a plurality of intersections respectively. The investigation assist device has a processor and a storage that records road map information including the plurality of intersections and captured video of each camera in association with camera information and intersection information. The processor extracts camera information of intersections adjacent to a first point where an event occurred according to an information input including information on the first point and feature information of a vehicle having caused the event. The processor retrieves a vehicle satisfying the feature information of the vehicle using a captured video of a camera specified by the extracted camera information. The processor analyzes feature information of the retrieved vehicle.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: An automatic tracking imaging system that remotely controls a camera in a control terminal and images a target while automatically tracking the target, the control terminal includes a target position detection unit that detects a position of the target, a control delay time estimation unit that estimates a time T at which a control delay occurs, a target position prediction unit that predicts a position of the target after the time T, a control amount calculation unit that calculates a control amount of pan and/or tilt of the camera required to move a center of an imaging screen to a predicted position of target, a determination unit that determines whether or not the target prediction position belongs to a dead zone, and an instruction unit that instructs the camera to execute the pan and/or tilt, and the camera is instructed to execute pan and tilt from the instruction unit.