Abstract: Embodiments of the present application provide a lane line processing method and a lane line processing device. The method can include: performing a binarization processing on a first image to obtain a binary image, the first image including lane line points and non-lane line points; performing a connected domain analysis on the binary image to obtain at least one connected domain in the binary image, the connected domain including a plurality of adjacent lane line points; determining lane line points in a group corresponding to a lane line, based on the connected domain; and obtaining representation information of the lane line corresponding to the group, by using the lane line points in the group.

Abstract: The invention relates to a method for operating a driver assistance system (2) of a motor vehicle (1) comprising a) sensing a plurality of vehicles (5a-5d) in the surroundings (6) of the motor vehicle (1) by means of a sensing device (3) of the driver assistance system (2); b) determining a respective driving parameter value for at least one driving parameter of the sensed vehicles (5a-5d) by means of a computing device (7) of the driver assistance system (2); c) categorizing the sensed vehicles (5a-5d) on the basis of the at least one driving parameter value, respectively determined for the sensed vehicles (5a-5d), in average vehicles (5a-5c) and in atypical vehicles (5d); d) collectively predicting an overall behaviour for a totality of the sensed average vehicles (5a-5c) on the basis of the driving parameter values determined for the average vehicles (5a-5c); and e) individually predicting a respective individual behaviour for the sensed atypical vehicles (5d) on the basis of the respective driving paramet

Abstract: Systems, apparatuses and methods may provide for technology that conducts a real-time analysis of interior sensor data associated with a vehicle, exterior sensor data associated with the vehicle and environmental data associated with the vehicle. Additionally, the technology may determine whether a hazard condition exists based on the real-time analysis, wherein the hazard condition includes a deviation of a current behavior waveform from a reference behavior waveform by a predetermined amount. In one example, a safety measure is triggered with respect to the vehicle if the hazard condition exists. The safety measure may be selected based on a reaction time constraint associated with the hazard condition.

Abstract: According to an embodiment, an information processing device includes one or more processors. The one or more processors are configured to obtain moving object information related to a moving object; obtain road information; and calculate a predicted movement range of the moving object based on the moving object information and the road information.

Abstract: A warning is not issued when there is not a history in which a host vehicle or an object vehicle (a recording target vehicle) have traveled from a current position of the host vehicle to a predicted collision point and a history in which the recording target vehicle has traveled from a current position of a collision-possible vehicle to the predicted collision point.

Abstract: Disclosed are a method for recognizing braking performance of a preceding vehicle and controlling driving of a vehicle based on the recognized braking performance, and a vehicle terminal therefor. One or more of a vehicle, a vehicle terminal, and an autonomous vehicle in the present disclosure may work in conjunction with an Artificial Intelligence (AI) module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a 5G service-related device, etc.

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus for CA/AD may include a sensor interface, a communication interface, and a driving strategy unit. The sensor interface may receive sensor data indicative of friction between a road surface of a current location of a CA/AD vehicle and one or more surfaces of one or more tires of the CA/AD vehicle. The communication interface may receive, from an external road surface condition data source, data indicative of friction for a surface of a road section ahead of the current location of the CA/AD vehicle. The driving strategy unit may determine, based at least in part on the sensor data and the data received from the external road surface condition data source, a driving strategy for the CA/AD vehicle beyond the current location of the CA/AD vehicle. Other embodiments may also be described and claimed.

Abstract: A method of obtaining an image from an image sensor provided in a vehicle includes obtaining a vehicle speed of the vehicle; adjusting a shutter speed of the image sensor; adjusting either one or both of an international organization for standardization sensitivity (ISO) of the image sensor and an aperture of the image sensor based on the vehicle speed; and obtaining the image from the image sensor based on the adjusted shutter speed and the adjusted either one or both of the ISO and the aperture.

Abstract: A driving assistance apparatus includes processing circuit, and a communicator that communicates with the outside. The processing circuitry executes the following processes: identifying a driving state of a driver in a following vehicle behind a subject vehicle on the basis of a rear image containing the back of the subject vehicle; determining circumstances around the subject vehicle on the basis of images around the subject vehicle including the rear image; and controlling the autonomous driving of the subject vehicle on the basis of the driving state of the driver in the following vehicle, identified in the identifying process, and the circumstances, determined in the determining process.

Abstract: A travel control apparatus is provided. The travel control apparatus acquires driver abnormality information indicative of an abnormality of a driver of a vehicle, makes a determination that the driver is in a driving difficulty state based at least on the driver abnormality information, and activates a lane departure prevention function and a cruise control function of the vehicle at substantially the same time during a time period between when the driver abnormality information is acquired and when the driving difficulty state is determined. Together with activating the lane departure prevention function and the cruise control function, the travel control apparatus outputs notification request information to a human machine interface controller controlling a notification device which issues a notification to a passenger of the vehicle. The notification request information causes the notification indicative of activation of the lane departure prevention function and the cruise control function to be issued.

Abstract: A collision avoidance device for a vehicle is provided. The collision avoidance device includes an object sensing unit for sensing an object, an attribute acquisition unit for using a sensing result from the object sensing unit to acquire an attribute of an oncoming vehicle, and a collision avoidance execution unit for executing at least one of a notification of a possibility of collision and a collision avoidance operation, if it is determined, based on the attribute acquired by the attribute acquisition unit, that the oncoming vehicle crosses a center line.

Abstract: In order to provide a ship maneuvering support system capable of coping with drowsiness of an operator, a ship maneuvering support system includes: a portable terminal carried by a ship's operator for detecting the operator's drowsiness, and a navigation device used for navigating the ship and performing a predetermined operation when the operator's drowsiness is detected.

Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.

Abstract: A computing device including processor circuitry. The processor circuitry may perform operations comprising obtaining images representative of features within an environment of a host vehicle; identifying, from the images, a target object partially obscured in the environment; obtaining map data corresponding to the environment of the host vehicle, the map data comprising information of the features within the environment; localizing a position of the partially obscured target object within the environment based on comparing the features in the images to the information of the features obtained from the map data; and identifying a predicted trajectory of the partially obscured target object based on the localized position of the partially obscured target object within the environment.

Abstract: A method of positioning a vehicle during a parking operation includes positioning a vehicle in a parked position during a first parking operation, and detecting a distance of the vehicle from an object when the vehicle is in the parked position. The distance is stored in a vehicle memory. The distance from the object is recalled during a second parking operation with the vehicle. An indication is provided during the second parking operation when the vehicle is spaced from the object by the distance.

Abstract: A method by which a V2X communication device receives an ITS message is disclosed. The ITS message reception method for the V2X communication device can comprise the steps of: accessing a control channel (CCH); receiving a first ITS message including EAS information from the CCH; and acquiring the EAS information from the first ITS message, wherein the first ITS message can include a rich media information field including information on rich media related with the EAS information, and the rich media information field can include transmission type information indicating a data transmission type of the rich media and channel information indicating an ITS channel through which data of the rich media is transmitted.

Abstract: An acquisition unit of a falling object detection apparatus installed and used in a first vehicle acquires a depth image of a second vehicle, on which a load is mounted and which is traveling in front of the first vehicle, and of the area around the second vehicle. A determination unit of the falling object detection apparatus determines whether the load has not made a movement different from that of the second vehicle, using the depth image acquired by the acquisition unit. A detection unit of the falling object detection apparatus detects a fall of the load based on a result of determination by the determination unit.

Abstract: A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: Example implementations may relate to optimization of observer robot locations. In particular, a control system may detect an event that indicates desired relocation of observer robots within a worksite. Each such observer robot may have respective sensor(s) configured to provide information related to respective positions of a plurality of target objects within the worksite. Responsively, the control system may (i) determine observer robot locations within the worksite at which one or more of the respective sensors are each capable of providing information related to respective positions of one or more of the plurality of target objects and (ii) determine a respectively intended level of positional accuracy for at least two respective target objects. Based on the respectively intended levels of positional accuracy, the control system may select one or more of the observer robot locations and may direct one or more observer robots to relocate to the selected locations.

Abstract: A method avoids a collision of a motor vehicle initially moving backwards or forwards, in particular leaving a parking place, with cross-traffic. The method detects whether there is a risk of collision with cross-traffic; determines a last possible braking intervention for ensuring avoidance of collision when there is a risk of collision with cross-traffic; and performs an automatic last possible initiation of a braking intervention for preventing the collision in the event of an identified risk of collision, if avoidance of the collision is ensured thereby.

Abstract: A navigation method, performed by a smart moving device, includes determining a navigation strategy according to a preset navigation calculation function; acquiring collision indication information related to a collision status when the smart moving device moves according to the navigation strategy; and adjusting the preset navigation calculation function according to the collision indication information; and updating the navigation strategy according to the adjusted navigation calculation function.

Abstract: A transportation vehicle for containers has a vehicle controller for automatically driving and controlling the speed of the transportation vehicle. The transportation vehicle includes a sensor apparatus for object identification, with the sensor apparatus interacting with the vehicle controller such that a movement region of the transportation vehicle can be ascertained. The transportation vehicle is configured to come to a standstill within the movement region by a braking process during a braking time, and that a movement region of an object that is identified by the sensor apparatus can be ascertained, with the object being moved within the movement region during the braking time of the transportation vehicle, so that the permissible speed of the transportation vehicle can be automatically reduced by the vehicle controller, and so that the two movement regions do not touch after the reduction in the permissible speed.

Abstract: A method and a device for detecting collisions for a vehicle. In this context, an at least three-stage method is described. A first collision check, a second collision check, and a third collision check are performed. Surface areas are considered step-by-step along a section of a trajectory of the vehicle. In the individual steps, the surface areas in the individual steps being approximated to the actual swath of the vehicle.

Abstract: The present invention relates to a method of moving a load using a crane comprising the steps: defining an origin coordinate system in the crane; defining at least one obstacle coordinate system that is fixedly linked to a deployment location of the load movement; establishing a relationship of the at least one obstacle coordinate system with the origin coordinate system; predefining a travel path of the hook block, preferably with the suspended load, with the aid of the at least one obstacle coordinate system; and converting the travel path from the obstacle coordinate system into actuator controls of the crane for a corresponding movement of the hook block, preferably with the suspended load.

Abstract: A method for safe positioning and related products are provided. Three neighbor awareness network (NAN) devices at a road junction are determined, and a NAN among an electronic device and the three NAN devices is established, where each of the three NAN devices in the NAN locates at a fixed position. Positions of the electronic device and positions of a vehicle in a same plane coordinate map are obtained, where the electronic device and the vehicle are positioned by the three NAN devices, and determine that the vehicle is approaching the electronic device according to positional variations of the electronic device and the vehicle. A distance between the electronic device and the vehicle is determined according to the positions of the electronic device and the positions of the vehicle, and reminding information is outputted when the distance is smaller than a preset threshold.

Abstract: Methods for detecting an alignment of a robot with a virtual line, including: transmitting, with at least one transmitter of the robot, a first signal; receiving, with a first receiver and a second receiver of a device, the first signal; detecting, with the device, that the robot is aligned with the virtual line when the first receiver and the second receiver of the device simultaneously receive the first signal; transmitting, with at least one transmitter of the device, a second signal indicating that the robot is aligned with the virtual line; receiving, with at least one receiver of the robot, the second signal; actuating, with a processor of the robot, the robot to execute a movement upon receiving the second signal; and marking, with the processor of the robot, the location of the device in a map of an environment of the robot.

Abstract: The present disclosure describes a system, device, and method for assisting a user to avoid contacting surfaces with their mobile device. An environment is sensed with one or more electronic sensors. The sensor readings are analyzed. Information is then provided to a user based on the analyzed sensor readings. The sensors may be configured so their sensor cones cross at a midpoint. Readings from the sensor(s) may be grouped according detection zone(s) corresponding to one or more areas about a mobile device. A computing module may control a feedback module according to detection zone readings. The feedback module may comprise an indicator for each detection zone. The indicator may be a vibration motor. The indicator may be a light. The computing module may set the colour of a light and/or control the vibrations based on the proximity of surfaces detected within the corresponding detection zone.

Abstract: A train control system includes an onboard equipment with a wireless receiver and connected to a railway vehicle, a wayside equipment with a wireless transmitter and assigned to an interlocking entry point, wherein the interlocking entry point includes a home signal, wherein the wayside equipment is configured to wirelessly transmit status data of the home signal to the onboard equipment of the railway vehicle when approaching the interlocking entry point via a wireless communication link, and wherein the onboard equipment is configured to receive the status data of the home signal via the wireless communication link and to determine a distance between the railway vehicle and the interlocking entry point.

Abstract: A method for providing adaptive vehicle-proximity guidance may include monitoring transit-condition data of a roadway traversed by a user-vehicle. The method may further include determining, based at least in part on the transit-condition data, a proximity zone. The method may further include generating a first visual representation that corresponds to the proximity zone. The method may further include displaying the first visual representation onto the roadway proximate the proximity zone and updating the first visual representation in response to detected changes in the transit-condition data.

Abstract: A method of obtaining an image from an image sensor provided in a vehicle includes obtaining a vehicle speed of the vehicle; adjusting a shutter speed of the image sensor; adjusting either one or both of an international organization for standardization sensitivity (ISO) of the image sensor and an aperture of the image sensor based on the vehicle speed; and obtaining the image from the image sensor based on the adjusted shutter speed and the adjusted either one or both of the ISO and the aperture.

Abstract: The present disclosure provides a driving assistance method and system for a mobile vehicle to avoid hazards in its environment. This system can detect hazards in a vehicle's surroundings and unobtrusively adjust its driving module's driving commands when necessary to avoid hazards. The system is configured to allow it to provide interference-free assistance to the operator of a human-operated vehicle or the motion controller of an autonomous vehicle to avoid hazards.

Abstract: A system and method for providing road user classification training using a vehicle communications network that include analyzing sensor data to determine a sensor classification of at least one road user. The system and method also include analyzing at least one message that is received through the vehicle communications network to determine a vehicle-to-everything (V2X) classification of the at least one road user. The system and method additionally include determining if a variance exists between the V2X classification of the at least one road user and the sensor classification of the at least road user. The system and method further include training a neural network with classification variance data upon determining that the variance exists between the V2X classification and sensor classification.

Abstract: Techniques are described for determining a likelihood that a radar device failed to detect an object (i.e., a false negative). Determining the likelihood may be based at least in part on determining an estimated noise floor based at least in part on at least a portion of radar data, which may comprise one or more detections, and determining a likelihood that the portion of radar data includes a false positive, based at least in part on the estimated noise floor and a response profile associated with an object. A response profile may identify a received signal power and/or radar cross section associated with an object type.

Abstract: A system for generating at least a second trajectory for a first route section of a road comprises a first interface for receiving first data representing at least a first trajectory. The first data were recorded during travel on the first route section by at least one vehicle controlled by a human driver. The first interface is additionally configured to receive second data representing ambient conditions at the time of recording of the first trajectory, and to receive third data representing vehicle-related features present during the recording of the first trajectory. The system additionally comprises a first data processing module that performs clustering of multiple first trajectories based on associated second data and/or third data, a database for retrievably storing the results of the clustering, and a second interface for receiving a request for the transmission of a second trajectory and for corresponding transmission of the requested second trajectory.

Abstract: Method for determining a staggered pattern and interrogation mode pattern of an Secondary Surveillance Radar (SSR) is disclosed. The method enables a Passive SSR (PSSR) to work not only inside but also outside the SSR beam. When PSSR is in the wider beam of the SSR, multiple P2-pulses are detected as time-ordered sequence of P2-pulse intervals, from which a repeating sequence and further a stagger pattern is determined. The interrogation mode pattern is determined by comparing the staggered pattern with the interrogation signals. A transmit time of the P3-pulse is predicted based on the staggered pattern and the interrogation mode pattern. Corresponding system is also provided.

Abstract: Embodiments of the present invention relate to transportation systems. More particularly, embodiments relate to methods and systems of vehicle data collection by a user having a mobile device. In a particular embodiment, vehicle data (also termed herein “driving data” or “data”) is collected, analyzed and transformed, and combinations of collected data and transformed data are used in different ways, including, but not limited to, predicting, detecting, and reconstructing vehicle accidents.

Abstract: A movable body monitoring apparatus is mounted on a movable body and to receive movement data related to movements of other movable bodies. The apparatus includes an acquiring unit, a generator, a determining unit, and a monitoring unit. The acquiring unit acquires the movement data on the other movable bodies. The generator generates group information on a plurality of low-speed movable bodies which are determined based on actual speeds or types of the other movable bodies. The determining unit determines whether to generate the group information by the generator, in accordance with a travel environment. The monitoring unit collectively monitors movements of the plurality of low-speed movable bodies using the group information, when the group information is generated. The monitoring unit individually monitors the movements of the plurality of low-speed movable bodies, when the group information is not generated.

Abstract: A method performed by an air vehicle having navigational equipment includes receiving an actual navigation performance (ANP) value from a neighboring air vehicle. The method also includes displaying a representation of the air vehicle and a representation of the neighboring air vehicle on a display. The method also includes determining a combined ANP (CANP) value based on the ANP value from the neighboring air vehicle and an ANP value of the air vehicle. The method also includes comparing a position of the air vehicle to the CANP value. The method also includes responsive to the position of the air vehicle being within a distance margin away from the neighboring air vehicle based on the CANP value, performing an action to increase a distance the air vehicle is from the neighboring vehicle.

Abstract: A computer-implemented method for representing environmental elements includes receiving scan data comprising at least a point cloud representing at least an environmental element from a sensor, segmenting the point cloud into point clusters, and partitioning the point clusters into hierarchical grids. The method also includes establishing a Gaussian distribution for points in each cell of each of the hierarchical grids, and constructing a Gaussian Mixture Model based on the Gaussian distribution for representing the environmental element.

Abstract: A motor vehicle including a sensor device detecting the current vehicle surroundings and an auxiliary device producing a steering torque on a steering control of the motor vehicle. A data processing device connected to the sensor device and the auxiliary device determines a free escape lane for the motor vehicle by considering the signals of the sensor device to determine the existence of an imminent impact or collision in a current driving situation. If an imminent impact or collision appears likely the data processing device actuates the auxiliary device to produce a temporary steering torque on the steering control. The steering control can be temporarily displaced, moved, or turned to a defined extent in an evasive steering direction to steer the motor vehicle into the free escape lane.

Abstract: An electronic communication device is able to be coupled to a sensor and is intended to be installed in the road or embedded in a vehicle. The device includes a determining module configured to determine a tracking list for at least one traffic element detected by the sensor. Each tracking list includes several information elements. The traffic element is located within a geographical zone covered by the sensor. A computer is configured to compute, as a function of at least one determined tracking list, a motion limitation setpoint for each vehicle located in the geographical zone. A transmitter is configured to send the computed limitation setpoint(s) to an electronic supervision equipment item via a data link.

Abstract: A method for triggering at least two safety functions from a predefined plurality of safety functions in a motor vehicle, including a) recognizing a trigger signal for one first safety function, and b) generating a trigger signal for at least one second safety function, if according to step a) the trigger signal for the first safety function has been recognized, the first safety function being of a first function type and at least one of the second safety functions being of a second function type differing from the first function type.

Abstract: Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.

Abstract: A method and system provide the ability to automatically control a vehicle to avoid obstacle collision. Range data of a real-world scene (including depth data to static objects) is acquired. Positions and velocities of moving objects are acquired. The range data is combined into an egospace representation for pixels in egospace that is specified with respect to a radially aligned coordinate system. An apparent size of the static objects is expanding, in the egospace representation, based on a dimension of the vehicle. A speed of the vehicle is specified. A velocity obstacle corresponding to the moving objects is constructed. A mask is created in the coordinate system and identifies candidate radial paths that will result in a collision between the vehicle and the moving objects. The mask is combined with the egospace representation that is then used to determine a path for the vehicle.

Abstract: Autonomous airship fleet operation includes receiving a mission request. A fleet manager in response to receipt of a mission request, plans a mission having a corresponding mission path and corresponding mission tasks based on a vehicle occupancy map. The fleet manager selects one or more candidate vehicles for the mission based on a correlation of at least one vehicle capability to a capability requirement determined from the mission request. The fleet manager further coordinates operation of the selected vehicles for a duration of the mission request, thereby fulfilling the at least one mission objective of the mission request.

Abstract: A method of assisting an autonomous vehicle includes obtaining first surrounding area information of the vehicle when the vehicle is located at a first distance from a monitored area disposed ahead of the vehicle, providing a first control command for controlling the vehicle to operate in a first operating mode, by using the first surrounding area information, obtaining second surrounding area information of the vehicle when the vehicle has driven toward the monitored area and is located at a second distance less than the first distance from the monitored area, and providing a second control command for controlling the vehicle to operate in a second operating mode, by using the second surrounding area information.

Abstract: A method includes operations to obtain a planned driving action for accomplishing a navigational goal of a host vehicle, identify a planned trajectory for the host vehicle, identify, from analysis of sensor data representative of an environment of the host vehicle, movement of an actor in the environment, identify a predicted trajectory of the actor, the planned trajectory for the host vehicle to intersect the predicted trajectory for the actor, determine a navigational constraint for the host vehicle, determine a higher priority of the navigational constraint over at least one other navigational constraint for the host vehicle in the environment, calculate a safety action of the host vehicle to respond to the predicted trajectory of the actor, wherein the safety action reduces intersection of the planned trajectory with the predicted trajectory of the actor; and cause the safety action to be applied in the host vehicle.

Abstract: A driving support device of the present disclosure includes an other vehicle detecting unit, a lane recognizing unit, a track acquiring unit, an interference determining unit, and a driving support unit. The other vehicle detecting unit is configured to detect a location of another vehicle existing around the own vehicle. The lane recognizing unit is configured to recognize a traffic lane in which the other vehicle is located. The track acquiring unit is configured to acquire an own vehicle track. The interference determining unit is configured to determine whether an other vehicle course interferes with the own vehicle track. The driving support unit is configured to perform driving support different between in an interference state indicating a case where the other vehicle course interferes with the own vehicle track and in a non-interference state.

Abstract: Aspects of the disclosure relate to validating autonomous control software for operating a vehicle autonomously. For instance, the autonomous control software is run through a driving scenario to observe an outcome for the autonomous control software. A validation model is run through the driving scenario a plurality of times to observe an outcome for the model for each of the plurality of times. Whether the software passed the driving scenario is determined based on whether the outcome for the software indicates that a virtual vehicle under control of the software collided with another object during the single time. Whether the validation model passed the driving scenario is determined based on whether the outcome for the model indicates that a virtual vehicle under control of the model collided with another object in any one of the plurality of times. The software is validated based on the determinations.

Abstract: A control device for a vehicle predicts a collision of the vehicle with an object and then actuates a drive assist device. The control device includes a collision predictor, a drive assist controller, an engine controller, a first power supply system, a second power supply system, a switch, and a switch controller. When a possibility that the vehicle will collide with the object exceeds a threshold, the collision predictor outputs a collision alarm signal. When the collision alarm signal is output during driving of the starter motor, the engine controller stops the starter motor to increase an electric potential of the second power supply system, and the switch controller turns on the switch, based on a difference in electric potential between the first and second power supply systems.