Abstract: A safety system for autonomously mobile machinery (e.g., automated guided vehicles) achieves safety-rated collision avoidance functionality by detecting objects located in the field of view of a three-dimensional (3D) time-of-flight (TOF) vision system or camera. Incorporating a 3D TOF camera into a collision avoidance system allows a large volume to be monitored for object intrusion, improving reliability of object detection. To ensure reliability of the safety system's obstacle detection capabilities, the collision avoidance system also includes self-diagnostic capabilities that verify the accuracy of the TOF camera's distance measurements even in the absence of a test object within the camera's field of view. This is achieved by tilting the TOF camera downward to include the floor within the camera's field of view, allowing the floor to act as a test object that can be leveraged to verify accuracy of the camera's distance measurements.

Abstract: An emergency power management system of a mobility, may include a fuse device connected to a battery and including a first circuit and a second circuit in which a first fuse and a second fuse are respectively provided and are connected in parallel, a pyro switch provided between the first circuit and the second circuit, and configured to establish electric connection with the first circuit in ordinary times and to release electric connection with the first circuit and to establish electric connection with the second circuit in a case of emergency, a determiner configured to determine abnormality of the first fuse based on current applied from the high-voltage battery or voltages at opposite end portions of the first fuse, and a controller configured to operate the pyro switch when abnormality occurs in the first fuse.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for avoidance control of a vehicle, an electronic device, and a storage medium, where the method includes: obtaining behavior information of a moving obstacle, where the moving obstacle is located in a direction of movement of the vehicle and a distance between the moving obstacle and the vehicle satisfies a preset avoidance distance; determining an avoidance strategy for the vehicle based on the behavior information of the moving obstacle; and controlling movement of the vehicle based on the avoidance strategy. The method in the embodiments of the present disclosure considers the behavior information of the moving obstacle in the process of avoidance control of the vehicle, and the vehicle can be controlled to travel when the moving obstacle takes an avoidance action, thereby improving the accuracy of avoidance for the vehicle and the practicality of intelligent driving.

Abstract: Systems and methods for limiting driver distraction, such as improving (e.g., maintaining) driver attention to driving when driving distractions are detected, are provided. A system may include at least one sensor for determining an attention of a driver on a travel path and an interface module configured to reengage attention of the driver on the travel path. An image capturing device may detect an environment surrounding the vehicle. A logic device may determine whether the environment surrounding the vehicle includes an external distraction or whether the driver is distracted by an internal distraction. The at least one sensor may monitor the driver for a distracted behavior. The driver may be required to take an action when a distraction is determined. For example, the driver may interact with a driver monitoring system to verify reengagement to driving (e.g., by identifying a second vehicle on the roadway).

Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set detects a set of road users and, for each road user, a current state including a current speed and a current position. The data storage device includes a finite plurality of behavioral models. The data processor assigns a behavioral model to each road user, probabilistically estimates, for each road user, a belief state comprising a set of alternative subsequent states and corresponding probabilities, each alternative subsequent state including a speed and a position, according to the behavioral model assigned to each road user, and determines a risk of collision of the road vehicle with a road user, based on the probabilistically estimated future state of each road user. The output device outputs a driver warning signal or executes an avoidance action if the risk of collision exceeds a predetermined threshold.

Abstract: A vehicle structure material strengthening system and a vehicle containing the same are described. The vehicle structure material strengthening system has at least one collision sensor, a processor, and a power supply. The collision sensor is suitable for being mounted on the vehicle. The processor is electrically connected to the collision sensor for receiving a collision signal from the collision sensor, and determines whether to transmit a power activation signal according to the collision signal. The power supply is electrically connected to the processor and the vehicle. When the collision signal is greater than or equal to a collision threshold, the processor transmits the power activation signal to the power supply, wherein the power supply transmits a circuit to the vehicle according to the power activation signal; or when the collision signal is less than the collision threshold, the processor does not transmit the power activation signal.

Abstract: An augmented reality display system including an input unit, an operation processing unit and an output unit is provided. The input unit is configured to obtain an environment information. The operation processing unit is configured to operate and process the environment information provided by the input unit to generate an output information. The output unit is configured to transmit the output information provided by the operation processing unit to a user. The output unit includes at least one display module. The at least one display module includes a transparent display, a first lens having a negative refractive power, a second lens having a negative refractive power and a third lens having a positive refractive power arranged in sequence from a display side to an eye side. An augmented reality display method is also provided.

Abstract: Computing nodes in a peer-to-peer network that can receive data about an accident in response to a vehicle having an accident. A computing device in the peer-to-peer network can generate a record of the data and store, in persistent storage, a copy of the record. The computing device can also transmit the record, via peer-to-peer connections, to other computing nodes in the network. The nodes in the network, when receiving the record, can each store a copy of the record and broadcast the record to one or more additional computing nodes in the network to cause the one or more additional computing nodes to store one or more additional copies of the record. Also, in response to an inquiry about the accident, the node can provide the record. And the node can participate in a determination of a network consensus in the network about validity of the record.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a vulnerable road unit (VRU) device may determine that a parameter associated with movement of the VRU device satisfies one or more thresholds indicated in an event reporting configuration. The VRU device may transmit, to a vehicle user equipment device, an indication of an event associated with the VRU device based at least in part on determining that the parameter satisfies the one or more thresholds. Numerous other aspects are provided.

Abstract: A method and system for producing video-segments of a live-action event involving monitoring a live-action event for detection of event-segments, detecting one or more event-triggers with detectors, determining if an event-segment occurred based on the detected event-triggers, and editing one or more video feeds into a video-segment to encompass the event-segment.

Abstract: The disclosure relates to a method for specifying a driving strategy for a vehicle driving with a first driving parameter, comprising the following steps: detecting a following vehicle that is located behind the vehicle in the driving direction of the vehicle, and detecting a second driving parameter that is assigned to the following vehicle.

Abstract: An approaching moving object detecting unit that detects an approaching moving object existing within a predetermined range on a rear side of an own vehicle based on outputs of a periphery monitoring camera that acquires an image of the rear side of the own vehicle and a sensor that detects an approaching moving object, a relative speed detecting unit that detects relative speeds of an approaching moving object and the own vehicle, and a warning output determiner that, when an approaching moving object is detected and the own vehicle is attempting to change lane, causes a warning of a warning output unit to be generated when a relative speed detected by the relative speed detecting unit exceeds a reference relative speed with respect to which a lane change can be carried out, are provided with an object of restricting an excessive notification when notifying of the existence of an approaching moving object.

Abstract: An apparatus and method for forward collision avoidance through sensor angle adjustment includes a position provider configured to provide information on a position of a host vehicle, a sensor configured to sense a presence of an object in vicinity of the host vehicle, and a vehicle controller configured to detect a dangerous area in a driving caution area, increase a sensitivity of the sensor toward the dangerous area, in response to detecting the dangerous area, and increase a forward collision avoidance performance of the host vehicle, in response to determining that the host vehicle enters the driving caution area through the position provider.

Abstract: An intelligent traffic control system may be configured to manage autonomous vehicle traffic, such as by communicating with autonomous vehicles. The intelligent traffic control system may be configured to output an indication of a traffic control command to autonomous vehicles and non-autonomous vehicles. The intelligent traffic control system may be configured to determine traffic control commands for autonomous vehicles and non-autonomous vehicles.

Abstract: A method for operating an assistance system for automated driving operation of a vehicle involves continuously determining an emergency trajectory along which the vehicle is brought to a standstill in a longitudinally and transversely controlled manner after activation of an emergency operation of the vehicle. In the event of an imminent or already initiated lane change of the vehicle from a starting lane to a target lane according to a determined standard trajectory, a decision is made as to whether the vehicle should be brought to a standstill in the starting lane or in the target lane when emergency operation is activated. This decision depends on the position of the vehicle on the standard trajectory.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.

Abstract: In accordance with an exemplary embodiment, a vehicle is provided that includes a body, a drive system, and a control system for controlling the adaptive cruise control functionality for the vehicle. The drive system is disposed within the body, and has adaptive cruise control functionality. The control system includes: one or more sensors disposed onboard the vehicle and configured to obtain sensor data for monitoring a driver of the vehicle while the vehicle is stopped during adaptive cruise control operation while a target vehicle in front of the vehicle has stopped; and a processor coupled to the one or more sensors and configured to provide instructions for automatically resuming movement of the vehicle, when the target vehicle resumes movement, based on the monitoring of the driver of the vehicle.

Abstract: A method for a vehicle, in particular a vehicle which is operated in an at least partially automated manner, for detecting an impact event. The method includes of: a. developing a driving environment model for the vehicle as a function of first sensor signals from at least one driving environment sensor system of the vehicle; b. using the driving environment model to determine a probability of contacting an object; c. opening a measurement window for second signals of a contact sensor system as a function of the determined contact probability; d. detecting an impact event as a function of the second sensor signals, in particular within the measurement window.

Abstract: Aspects of the disclosure relate to computing platforms that utilize machine learning to reduce false positive/negative collision output generation. A computing platform may apply machine learning algorithms on received data to generate a collision output. In response to generating the collision output indicating a collision, the computing platform may identify a data collection location. If the data collection location is within a predetermined radius of a false positive collection location, the computing platform may modify the collision output to indicate a non-collision. If the data collection location is not within the predetermined radius, the computing platform may compute a score using telematics data and compare the score to a predetermined threshold. If the score does not exceed the predetermined threshold, the computing platform may modify the collision output to indicate a non-collision.

Abstract: Techniques for controlling a protection apparatus are provided. An example method includes detecting an offset collision or diagonal collision, and activating a suitable protection apparatus for protecting the side or head of a passenger at a timing in accordance with the degree of collision. An example controller may include a level calculation part for calculating a level of a front face collision, a ?Voffset calculation part for making an offset adjustment of a speed (?V), and a determination part for determining an offset collision or diagonal collision based on the level of the front face collision and the ?Voffset.

Abstract: Systems and methods are provided for improving safety of one or more vehicle occupants. An example method for improving safety of one or more vehicle occupants includes accessing interior vehicle configuration data that is generated by, or derived from data generated by an interior data collection component, the data representing an interior space of a vehicle; determining, by processing the interior vehicle configuration data, location and orientation of one or more vehicle occupants; selecting a plurality of vehicle safety components to be active based on the location and orientation of the one or more vehicle occupants, and setting the plurality of vehicle safety components to an active state in which the plurality of vehicle safety components are deployed, when an emergency condition is detected.

Abstract: A method of operating an emergency services system entity is disclosed. The method includes receiving, by the emergency services system entity, data from a plurality of data sources; determining that a vehicle collision occurred based on the received data; determining a vehicle collision location; and sending a tow truck dispatch request to a plurality of tow truck dispatch systems in response to determining that a vehicle collision occurred, where the request includes the vehicle collision location.

Abstract: Methods and systems for notifying a driver of a first vehicle of obstacles discouraging passing of a second vehicle in front of the first vehicle. The system includes a sensor of the second vehicle configured to detect spatial data in proximity of the second vehicle. The system also includes an electronic control unit (ECU) of the first vehicle. The ECU is configured to receive the spatial data from a transceiver of the second vehicle. The ECU is also configured to determine obstacle data based on the spatial data, the obstacle data identifying a presence of obstacles ahead of the second vehicle discouraging passing of the second vehicle by the first vehicle. The ECU is also configured to provide a notification to the driver of the first vehicle when the obstacle data indicates the presence of obstacles ahead of the second vehicle.

Abstract: Systems and methods to provide security to an occupant of a first vehicle. In an example method, a computer provided in the first vehicle establishes a geofence that surrounds the first vehicle. The computer may detect a second vehicle that is present inside the geofence at one or more times and may react to the detection by obtaining data that provides information about an identity of the second vehicle. In one scenario, the data may be obtained via vehicle-to-vehicle communication between the first vehicle and the second vehicle. The computer may evaluate the data to identify a driver of the second vehicle and to confirm that the second vehicle is carrying out a stalking operation and may pose a security threat. The computer may then automatically contact a police officer to report the security threat.

Abstract: An apparatus and a method to detect a crash type of a vehicle provides a front acceleration sensor configured to sense a left front acceleration and a right front acceleration in the front of a vehicle; a center acceleration sensor configured to sense a center left acceleration and a center right acceleration in the center of the vehicle; a collision direction detection unit configured to detect a collision direction of the vehicle using the accelerations; a high frequency component detection unit configured to detect high frequency components by filtering the accelerations; and a crash type detection unit configured to detect a crash type of the vehicle using the accelerations of the high frequency components in accordance with the collision direction.

Abstract: A system and method may track data from one or more sensors during vehicle driving. Based on the sensors data, one or more alerts or potential hazards may be identified. The system and method may generate a drive summary including information and optional statistics about the alerts or potential hazards.

Abstract: A method for controlling door movements of a controllable door of a motor vehicle, and a motor vehicle component. A control device and a sensor arrangement are attributed to the door. The door has a controllable motion influencing device, wherein a motion of a door wing of the door can be controlled and influenced by way of the motion influencing device to alternate between a closed position and an open position. The control device obtains position data which are representative of the geographic position of the motor vehicle and the control device controls movements of the door wing in dependence on the position data.

Abstract: A vehicle sensor assembly includes a panel having a first side and a second side. The vehicle sensor assembly also includes a beam spaced from the panel relative to the second side. The vehicle sensor assembly further includes a mount including a first portion fixed to the beam. In addition, the vehicle sensor assembly includes a sensor coupled to the mount. The mount includes a second portion coupled to the first portion and the sensor is fixed to the second portion to define a subassembly unit. The subassembly unit is movable relative to the first portion in response to a force applied to the first side of the panel which causes the second side of the panel to engage part of the mount to move the subassembly unit. A sensor-mount assembly includes the beam, the mount, and the sensor coupled to the mount.

Abstract: A vehicle identification system configured to identify a type of a target vehicle includes a first reflector configured to be disposed on an outer surface of the target vehicle, a second reflector configured to be disposed on the outer surface of the target vehicle and spaced apart from the first reflector, and a vehicle identification apparatus configured to identify the type of the target vehicle based on light reflected by the first reflector and the second reflector. The vehicle identification apparatus includes: a laser sensor configured to emit light toward the target vehicle and detect a first reflected light reflected by the first reflector and a second reflected light reflected by the second reflector, and a processor configured to identify the type of the target vehicle based on an intensity of each of the first reflected light and the second reflected light.

Abstract: A method for detecting a damage to a vehicle. The method includes a reading-in step and an evaluation step. In the reading-in step, a body sensor signal is read in via an interface to a body sensor of the vehicle, the body sensor signal representing at least one body vibration recorded in the body area. A chassis sensor signal is furthermore read in via an interface to a chassis sensor of the vehicle, which represents at least one chassis vibration recorded in the chassis area. In the evaluation step, the body sensor signal and the chassis sensor signal are evaluated to obtain an evaluation result representing the damage.

Abstract: Disclosed are a vehicle and a control method thereof configured for performing a vehicle control to detect lighting irradiated from a lamp at the time of vehicle parking and park the vehicle safely and accurately. The vehicle includes a lamp configured to irradiate lighting to a ground, a camera configured to photograph the lighting irradiated to the ground to obtain information on a form of the lighting of the lamp, and a controller configured to determine at least one of the form of the ground to which the lighting is irradiated and whether or not an obstacle exists on the ground to which the lighting is irradiated, based on the information on the obtained form of the lighting of the lamp.

Abstract: Vehicle collisions can be mitigated by cooperative actions by three separate computers: a mobile processor in a vehicle, a workstation in a roadside access point, and a remote supercomputer. By exchanging 5G or 6G messages, the computers can cooperatively test a wide range of mitigation solutions, select the best solution, and rapidly transmit it, thereby enabling the vehicles to avoid the collision—or at least to minimize the harm of the collision. The supercomputer (and potentially the other computers) can use AI-based models to optimize the best avoidance strategy. The vehicle's on-board processor can pre-emptively start implementing its own best solution while the other computers are still calculating. Then, if the access point solution or the supercomputer solution appears to be more effective, it can switch to the better strategy. By exploiting high-speed communication and coordinated processor power, most traffic collisions can be avoided.

Abstract: A vehicular forward-sensing system includes a radar sensor and a forward viewing image sensor disposed within a windshield electronics module that is removably installed within the vehicle cabin at the vehicle windshield. A control is responsive to an output of the radar sensor and responsive to an output of the image sensor. Responsive to the image sensor viewing an object present in the path of forward travel of the vehicle and responsive to the radar sensor sensing the object present in the path of forward travel of the vehicle, the control determines that the object is an object of interest by processing by an image processing chip of image data of the object captured by the image sensor at a portion of an image plane of the image sensor that is spatially related to a location of the object present in the path of forward travel of the vehicle.

Abstract: A host vehicle including a plurality of sensors communicably coupled to the host vehicle. Additionally, the host vehicle includes processing circuitry configured to map-match a location of the host vehicle while the host vehicle is operating on a highway, receive obstruction information from the plurality of sensors, the plurality of sensors having a predetermined field of view corresponding to a host vehicle field of view, estimate a driver field of view based on the host vehicle field of view, determine whether a speed of the host vehicle is safe based on the driver field of view and the obstruction information, and modify driver operation in response to a determination that the speed of the host vehicle is not safe based on the driver field of view.

Abstract: A set of images of a three-dimensional (3D) inspection object collected by a drone during execution of a first flight path may be received, along with telemetry data from the drone. A tagged set of images may be stored, with each tagged image being stored together with a corresponding drone position at a corresponding time that the tagged image was captured, as obtained from the telemetry data. A mapping of the set of tagged images to corresponding portions of a 3D model of the 3D inspection object may be executed, based on the telemetry data. Based on the mapping, at least one portion of the 3D inspection object omitted from the set of tagged images may be identified. A second flight path may be generated for the drone that specifies a position of the drone to capture an image of the at least one omitted portion of the 3D inspection object.

Abstract: A method for operating a vehicle having a sensor device including at least two technologically diversified sensor units. The method includes: detection of pieces of surroundings information with the aid of the sensor device; defined evaluation of the pieces of surroundings information detected by the technologically diversified sensor units with respect to plausibility; and defined usage of the pieces of surroundings information using a result of the defined evaluation of the detected pieces of surroundings information.

Abstract: A system for monitoring a bed of a vehicle is provided. The system includes a display, an input device, a first imaging device configured to capture one or more images of a bed of the vehicle, and a controller. The controller receives a first signal indicating a first activation of the input device, determines whether a speed of the vehicle is greater than a threshold in response to a receipt of the first signal, and instructs the display to display an image of the bed captured by the first imaging device for a first predetermined time in response to determining that the vehicle speed is greater than the threshold and in response to the receipt of the first signal.

Abstract: A vehicle control method for executing a lane change of a subject vehicle includes acquiring surrounding information of the subject vehicle; specifying an entry position indicating a position of an entry destination of the subject vehicle, the entry position being located on a second lane adjacent to a first lane in which the subject vehicle is traveling; when operating a blinker, decelerating the subject vehicle, and executing a lane change; determining that there is a following vehicle which follows the subject vehicle in a predetermined area located behind the subject vehicle on a first lane; setting a preparation time longer than the preparation time when determining that there is not the following vehicle, the preparation time indicating a time from operating the blinker to decelerating the subject vehicle and starting the lane change; and controlling a travel position of the subject vehicle on the first lane within the preparation time.

Abstract: A method for warning a driver of a motor vehicle and to a control device for a motor vehicle are disclosed. The method comprises: steps: receiving, using the vehicle, position data of a first object from a communication device external to the vehicle; detecting a vehicle environment by a detection device of the motor vehicle and detecting an own position of the motor vehicle. In addition, determining if the detection device detects a second object hiding the first object in a field of view between the motor vehicle and the first object, and determining if in a potentially critical situation for the motor vehicle results from the first object. If it is recognized that the first object is hidden and that the potentially critical situation for the motor vehicle results from the first object, a specified warning cascade is initiated.

Abstract: Systems, methods, and devices for infrared (IR) communications in accordance with embodiments of the invention are disclosed. In one embodiment, a first infrared (IR) device configured for real time mapping comprises: a mapping module; a communication module; an IR receiver configured to receive an IR signal transmitted from at least one second IR device; a processor operatively connected to the mapping module, communication module, and IR receiver; and memory storing a program comprising instructions that cause the first IR device to: capture map data using the mapping module; transmit a request for an IR signal using the communication module; scan for IR signals using the IR receiver; receive an IR signal, from the at least one second IR device, using the IR receiver; and validate the at least one second IR device to a location by mapping the received IR signal to a position on the map data.

Abstract: Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

Abstract: A crash sensor system includes an electronic control unit (ECU). The ECU has an accelerometer to measure longitudinal acceleration of the vehicle. Front crash satellite sensors are mounted at the front of the vehicle to detect a front or a rear crash event. When a front or rear crash event occurs, the first accelerometer is utilized to determine if the crash occurred at the front or the rear of the vehicle, regardless of the polarity of the front crash satellite sensors.

Abstract: A control method of a vehicle may include generating navigation information based on destination information and current location information; determining whether a lane to be driven is a merge lane based on the generated navigation information, map information, and the current location information; recognizing a lane in an image acquired by an imaging device; recognizing a driving first lane based on the recognized location information of the lane; dividing a certain area including the merge lane into an entry section, a merge section, and a stabilization section when the first lane converges with a second lane; generating a driving route by performing curve fitting for route points in the entry section and the merge section; and controlling autonomous driving based on the generated driving route.

Abstract: An exit assist method is executed using an exit assist controller configured to control a subject vehicle to move from an exit start position to a target exit position along an exit route. The exit assist method includes determining whether or not an adjacent parked vehicle is present in an adjacent parking space to the exit start position, and when no adjacent parked vehicle is present, generating the exit route that includes the adjacent parking space.

Abstract: A vehicle driving assistance system includes a travel route generation system that acquires travel road information and obstacle information acquired by sensors and the like and generates the target travel route, on which a host vehicle travels, on a travel road. In the case where the host vehicle changes lanes, the system acquires information on the two peripheral vehicles, which exist near the host vehicle, on the change destination lane from the obstacle information, sets a target space, to which the host vehicle 1 should move, between the two peripheral vehicles on the change destination lane on the basis of this information on the two peripheral vehicles, predicts a future position of the target space on the basis of a moving speed of the target space, and generates the target travel route, on which the host vehicle travels during the lane change, on the basis of this predicted future position.

Abstract: Secure emergency vehicular communication is described herein. An example apparatus can include a processing resource, a memory having instructions executable by the processing resource, and an emergency communication component coupled to the processing resource. The emergency communication component can be configured to generate an emergency private key and an emergency public key in response to being within a particular proximity from a vehicular communication component associated with a vehicular entity and in response to receiving a vehicular public key from the vehicular communication component. The emergency communication component can be configured to provide the emergency public key, an emergency signature, and notification data to the vehicular communication component.

Abstract: The invention relates to a method for the classification of parking spaces in a surrounding region of a vehicle with a driver support system, wherein the vehicle comprises at least one first surroundings sensor and a second surroundings sensor, comprising the steps of receiving first sensor data out of the surrounding region by the driver support system from the at least one first surroundings sensor, recognizing a parking-space-like partial region of the surrounding region in the first sensor data, requesting second sensor data acquired by the at least one second surroundings sensor out of the parking-space-like partial region by the driver support system as soon as the parking-space-like partial region is recognized in the first sensor data, transmitting the requested second sensor data to a vehicle-side computing unit comprising a deep neural network (DNN), and classifying the parking-space-like partial region into categories with the DNN, wherein the categories comprise legal, parkable parking spaces and

Abstract: A scanning and perception system for a vehicle camera having an instantaneous field of view (iFOV) and configured to capture an image of an object at a saturation level in the camera's iFOV. The system also includes a light source configured to illuminate the camera's iFOV. The system additionally includes a radar configured to determine the object's velocity and the object's distance from the vehicle, and a mechanism configured to steer the radar and/or the camera. The system also includes an electronic controller programmed to regulate the mechanism and adjust illumination intensity of the light source in response to the saturation level in the image or the determined distance to the object. The controller is also programmed to merge data indicative of the captured image and data indicative of the determined position of the object and classify the object and identify the object's position in response to the merged data.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: An accident liability tracking system includes a processing device programmed to receive, from an image capture device, an image representative of an environment of the host vehicle, to analyze the image to identify a target vehicle in the environment of the host vehicle, and determine one or more characteristics of a navigational state of the target vehicle. The device is further programmed to compare the characteristics of the navigational state of the target vehicle to at least one accident liability rule, store one or more values indicative of potential accident liability on the part of the identified target vehicle based on the comparison of the characteristics of the navigational state of the identified target vehicle to the at least one accident liability rule, and output the one or more values, after an accident between the host vehicle and a target vehicle, for determining liability for the accident.