Abstract: A control device includes an electronic control unit configured to expand a first detection range at least in front of a host vehicle during execution of current first steering control, determine whether next first steering control is needed to be implemented and whether a relative direction of a next second object with respect to the host vehicle is the same as a relative direction of a first object with respect to the host vehicle when the second object is detected, and perform relaxation steering control based on a target value smaller in absolute value than a return target value after an end of the current first steering control when the implementation of the next first steering control is determined to be needed and the relative directions with respect to the host vehicle are determined to be the same between the second and the first object.

Abstract: A detection ECU acquires the position of the preceding vehicle, based on image information captured by an imaging device, and generates the track of the preceding vehicle, based on the position of the preceding vehicle. The detection ECU then performs following travel control for following the preceding vehicle by calculating the amount of control for causing the own vehicle to travel along the track of the preceding vehicle, and by causing the own vehicle to travel, based on the calculated amount of control. During the following travel control, if the width of the preceding vehicle is narrower than a predetermined width, the detection ECU calculates the amount of control such that the curvature variation in the track of the own vehicle is smaller than in the case where the width of the preceding vehicle is not narrower than the predetermined width.

Abstract: Disclosed is a driving assist apparatus which executes a process for collision avoidance when the possibility of collision of a vehicle with an obstacle is high. When the steering angle of the steering wheel is greater than an angle threshold, the apparatus determines that a driver is trying to avoid the collision by operating the steering wheel and does not execute the collision avoidance process. When the vehicle is making a right turn or a left turn, there arises a possibility that the collision avoidance process is not executed even in a situation where the collision avoidance process must be executed. In view of this, when the vehicle is making a right turn or a left turn, the angle threshold mentioned above is set to a larger value as compared with the case where the vehicle is not making a right turn or a left turn.

Abstract: A self-driving or autonomous vehicle comprises a processor to transmit an offer message to another vehicle and to receive a reply message from the other vehicle, and to transfer a payment to the other vehicle to obtain a traffic prioritization relative to the other vehicle. For example, the traffic prioritization may enable one vehicle to pass the other vehicle, to take precedence at an intersection or to be given priority to take a parking place or any other traffic-related advantage.

Abstract: A collision avoidance system obtains movement indicative data of plural vehicles included in separate vehicle systems. The movement indicative data can be obtained from sensors onboard the vehicles. The system determines an identification of which of the vehicles are included in the separate vehicle systems based on the movement indicative data that are obtained and determines a collision risk between two or more vehicle systems of the separate vehicle systems based on the movement indicative data that are obtained and the identification of which of the vehicles are in the separate vehicle systems. The system automatically changes movement of at least one of the two or more vehicle systems responsive to determining the collision risk.

Abstract: Among other things, sensor signals are received using a vehicle comprising an autonomous driving capability. A risk associated with operating the vehicle is identified based on the sensor signals. The autonomous driving capability is modified in response to the risk. The operation of the vehicle is updated based on the modifying of the autonomous capability.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: An apparatus for controlling a lane change of a vehicle may include: a processor determining whether a condition of interrupting a lane change procedure occurs, during controlling the lane change. In particular, when the condition of interrupting the lane change procedure is satisfied, the processor determines whether to interrupt the lane change procedure or whether to return the vehicle to an original lane to control the vehicle depending on a result of the determinations. The apparatus further includes a storage to store the result determined by the processor.

Abstract: In the case of recognizing a traffic regulation which determines that the priority of a first lane is higher than the priority of a second lane, and in the case of determining a state in which another vehicle is in compliance with the traffic regulation, and then determining that the other vehicle is not complying with the traffic regulation, a vehicle control device carries out at least one of a travel control in which a travel position of a host vehicle is moved in a direction of a side opposite to the second lane, and a travel control in which acceleration is not performed.

Abstract: A vehicle control device includes an avoidance determination unit configured to determine whether or not each of a structure and an oncoming vehicle is able to avoid a contact with a subject vehicle on the basis of a position of the structure and a position of the oncoming vehicle, and a driving control unit configured to control one or both of steering or acceleration and deceleration of the subject vehicle to cause the subject vehicle to travel and configured to stop the subject vehicle until the oncoming vehicle passes by the subject vehicle in a case where a state of a dead angle region of the structure is not able to be recognized, even in a case where it is determined that the contact between each of the structure and the oncoming vehicle and the subject vehicle is able to be avoided by the avoidance determination unit.

Abstract: In some embodiments, methods and systems are provided that provide for creating and monitoring predefined mission routes along air rails and non-overlapping buffer zones surrounding unmanned vehicles during travel of the unmanned vehicles along the predefined mission routes. The buffer zone may be thought of as a projected movement variation area being associated by the system to the UAV and containing four dimensions, the three positional dimensions, X, Y, and Z, along with a temporal one, time. Generally, the buffer zone will change as ambient conditions, location, and orientation of an unmanned vehicle change during travel of the unmanned vehicle along its predefined mission route.

Abstract: Embodiments of the disclosure disclose a method and an apparatus for calibrating a vehicle control parameter, an on-board controller, and an autonomous vehicle; one embodiment of the method comprises: executing a calibrating step in response to reaching a preset update condition, the calibrating step comprises: obtaining a current offset data set, wherein the current offset data in the current offset data set are determined in a period of time including a current time point; determining a current offset data reference value for characterizing a value feature of the current offset data set; and performing offset correction for the vehicle control parameter based on an offset between the current offset data reference value and a historical offset data reference value. This embodiment implements autonomous calibration of the vehicle parameter based on changes of vehicle offset, such that the vehicle may accurately follow a corresponding control indicator.

Abstract: Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: A controller for controlling a vehicle, the vehicle comprising a detection means having a detection zone and a lateral non-detection region, the controller comprising: an input for receiving an object detection signal from the detection means; a processor arranged to generate a control signal for controlling a vehicle system in dependence on the received object detection signal; an output for outputting the control signal wherein the processor is arranged to generate a vehicle speed control signal to vary a vehicle speed about a current vehicle speed in order to bring an object within the lateral non-detection region into the detection zone of the detection means; and the output is arranged to output the vehicle speed control signal.

Abstract: A driving alarm system, a driving alarm method and an electronic device using the same are provided. The driving alarm method includes: obtaining a driving trajectory of a vehicle in front; generating a driving trajectory matrix according to the driving trajectory; and outputting a warning message according to a dangerous level corresponding to the driving trajectory matrix.

Abstract: Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for providing context-aware and/or profile-based security in a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things).

Abstract: In some embodiments, a first homography, created from two images of a roadway, is decomposed to determine an ego-motion, and the ego-motion is used to adjust a previous estimate of a road plane. The adjusted previous estimate of the road plane is combined with the current estimate of the plane to create a second homography, and the second homography is used to determine residual motion and vertical deviation in the surface of the roadway. In some embodiments, multiple road profiles each corresponding to a common portion of a roadway are adjusted in slope and offset by optimizing a function having a data term, a smoothness term and a regularization term; and the adjusted road profiles are combined into a multi-frame road profile. In some embodiments, road profile information for a predetermined number of data points is transmitted in periodic data bursts, with more than one data point per data burst.

Abstract: Methods are described for generating encrypted messages and unicast/multicast transmitting the encrypted messages to one or more aircraft using Automatic Dependent Surveillance-Broadcast (ADS-B) transmission. Corresponding system for communicating messages to an aircraft using ADS-B link is also provided.

Abstract: A method is described for avoiding a collision of a motor vehicle with an object. A relative position between the motor vehicle and the object is determined. Depending on the relative position between the motor vehicle and the object, at least one collision avoidance measure is determined. A maximum specifiable steering angle range is determined. Within the maximum specifiable steering angle range, a blocked steering angle range, for which the collision with the object is threatened and preventable, and a warning steering angle range, for which no collision with the object is threatened and which is adjacent to the blocked steering angle range, are determined on the basis of the relative position between the motor vehicle and the object. A first collision avoidance measure for the blocked steering angle range and a second collision avoidance measure for the warning steering angle range are determined.

Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.

Abstract: In a driving support device for a vehicle, a collision prediction unit uses a determination plane defined by a lateral position axis indicating a position with respect to a vehicle in a lateral direction orthogonal to a vehicle traveling direction, and a prediction time period axis indicating a time-to-collision set in the vehicle traveling direction. Specifically, the collision prediction unit establishes a first collision prediction area as an area in the determination plane. The collision prediction unit determines whether an object is present in the first collision prediction area. Based on this determination, the collision prediction unit predicts a collision between the vehicle and the object. The width of the first collision prediction area along the lateral position axis is set based on the width of the vehicle. The lateral position of the first collision prediction area is set based on the speed of the object and the time-to-collision.

Abstract: A method (200) of determining a transformation matrix for transformation of ranging data from a first coordinate system for the ranging sensor to a second coordinate system for an image sensor is disclosed. The method comprises providing (201) a ranging sensor and an image sensor; acquiring (202) a ranging frame sequence, and an image frame sequence; determining (203) points of motion in frames of each acquired frame sequence; for each frame in one of the frame sequences: evaluating (204) if a single motion point has been determined in the frame, and if a single motion point has been determined, evaluating (206) if a single motion point has been determined in a temporally corresponding frame of the other frame sequence and, in that case, pairing (207) the temporally corresponding frames, whereby a set of frame pairs is formed, and determining (209) the transformation matrix based on the set of frame pairs.

Abstract: Methods and apparatus are disclosed for providing information about road features. A server can receive reports from information sources associated with a road feature that can include a road intersection. Each report can include source data obtained at a respective time. The source data from the reports can be stored at the server. The server can construct a phase map, where the phase map is configured to represent a status of the road feature at one or more times. The server can receive an information request related to the road feature at a specified time. In response to the information request, the server can generate an information response including a prediction of a status related to the road feature at the specified time. The prediction can be provided by the phase map and is based on information request. The information response can be sent from the server.

Abstract: A calibration method calibrates a stereo camera. The calibration method includes: measuring a relative position between the stereo camera and an object that is placed so as to fall within an image capturing area of the stereo camera; acquiring a captured image that is captured by the stereo camera and includes the object; and determining a calibration parameter for calibrating the stereo camera based on the relative position and the captured image.

Abstract: An assembly for monitoring an area is provided. The assembly can include two or more cameras sensitive to radiation of distinct wavelength ranges. The fields of view of the cameras can be substantially co-registered at the area to be monitored. The assembly can include a computer system which can process the image data to monitor the area. The computer system can be configured to identify relevant objects present in the area, update tracking information for the relevant objects, and evaluate whether an alert condition is present using the tracking information.

Abstract: A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it. The system may detect defects in an electric conductor system of a train.

Abstract: The present application provides a monitoring method and device for a mobile target, a monitoring system and mobile robot. The present application through the technical solution that acquiring multiple-frame images captured by an image acquisition device under an moving state of a robot in a monitored region, selecting at least two-frame images with an overlapped region from the multiple-frame images, performing comparison between the selected images by image compensation method or feature matching method, and outputting monitoring information containing a mobile target which moves relative to a static target based on the result of comparison, wherein the position of the mobile target has an attribute of indefinite change, the mobile target in the monitored region can be recognized precisely during movement of the mobile robot, and monitoring information about the mobile target can be generated to prompt correspondingly, thereby safety of the monitored region can be effectively ensured.

Abstract: A radar device derives, plurality of parameters according to a target and target detection distances, based of received signals that are acquired by receiving reflected waves, each of which is a radar transmission wave transmitted toward vicinity of an own vehicle and then reflected from the target existing in the vicinity. The radar device computes, from likelihood models in which first and second already-known correlations are modeled for each of the detection distances, an indicator based on likelihood ratios, which correspond to derived parameters and detection distances, of a stationary vehicle and upper object, in which the first already-known correlations correlate parameters and likelihoods of the stationary vehicle with each other and second already-known correlations correlate the parameters and likelihoods of the upper object with each other. The radar device performs a threshold determination on the computed indicators to determine whether the target is the stationary vehicle or upper object.

Abstract: A method, an apparatus, and a program of predicting an obstacle course, capable of appropriately predicting a course of an obstacle even under a complicated traffic environment, are provided. The course, which the obstacle may take, is predicted based on the position and the internal state of the obstacle, and at the time of the prediction, a plurality of courses are probabilistically predicted for at least one obstacle. When there are a plurality of obstacles, the course in which different obstacles interfere with each other is obtained from the predicted courses, which a plurality of obstacles may take, and the predictive probability of the course for which the probabilistic prediction is performed from the courses in which they interfere with each other is lowered. Probability of realizing each of a plurality of courses including the course of which predicted probability is lowered is calculated.

Abstract: In an embodiment, a method includes receiving, at an autonomous vehicle, reported data regarding an object in proximity to the autonomous vehicle. The data is collected by a collecting device external to the autonomous vehicle, and is relayed to the autonomous vehicle via a server. The reported data includes a current location, type, or predicted location of the object. The method further includes determining whether the reported data of the object matches an object in an object list determined by on-board sensors of the autonomous vehicle. If the determination finds a found object in the object list, the method correlates the reported data of the object to the found object in the object list. Otherwise, the method adds the reported data of the object to an object list of objects detected by sensor from on-board sensors of the autonomous vehicle. In embodiments, the collecting device is a mobile device.

Abstract: An object detection device detects an object moving in the area surrounding an own object. The object detection device includes: an information obtainment unit which obtains an object speed value that is at least one of a speed and an acceleration of the object in a lateral direction which is orthogonal to a predetermined direction of the area surrounding the own object; and an upper limit setting unit which sets an upper limit of the object speed value on the basis of angle information that is the relationship indicating an angle of a moving direction of the object with respect to the predetermined direction.

Abstract: A control device for a vehicle includes a camera sensor and an ECU. The ECU defines a specified area based on a position of a stationary object when the recognized objects include the stationary object. The ECU performs first driving support for reducing a possibility of a collision between a moving body and the host vehicle when the recognized objects include the moving body which is positioned within the specified area. Boundary lines partitioning the specified area include a first traveling direction boundary line extending in a traveling direction of the host vehicle. An inside of the specified area is a side on which the stationary object is positioned with respect to the first traveling direction boundary line. The first traveling direction boundary line is set on a side opposite to the stationary object across a reference line set based on a predicted course of the host vehicle.

Abstract: The present invention relates to a risk information collection device which includes: a degree of risk calculator to calculate a degree of risk of a travel state of the vehicle based on travel information of the vehicle, a visually-recognized object specifier to combine visual line information of a driver of the vehicle and object information around the vehicle and specify a name of a visually-recognized object of the driver to set a visually-recognized object candidate, a passenger information acquirer to acquire passenger information including at least words pronounced by a passenger, a risk-inducing factor candidate setter to set a risk-inducing factor candidate for specifying a risk-inducing factor based on the passenger information, and a risk-inducing factor specifier to specify a risk-inducing factor based on the degree of risk, the visually-recognized object candidate, and the risk-inducing factor candidate.

Abstract: The present invention relates to a dummy vehicle for carrying out tests for a driver assistance system. The dummy vehicle has a deformable first outer panel, which at least partially encloses an inner volume of the dummy vehicle, and an opening element, which at least partially encloses the inner volume of the dummy vehicle, wherein the opening element and the first outer panel form a self-supporting unit. The opening element is detachably connected to the first outer panel such that, upon an influence of an impact force, the opening element is detachable from the first outer panel, such that the self-supporting unit is disintegratable and a deformation of the vehicle is providable.

Abstract: Various examples with respect to visual depth sensing with accurate and full-range depth fusion and sensing are described. A control circuit of an apparatus receives a plurality of sensor signals that are heterogeneous in type from a plurality of sensors. The control circuit generates first depth-related information of a scene and second depth-related information of the scene based on the plurality of sensor signals. The control circuit then fuses the first depth-related information and the second depth-related information to generate a fused depth map of the scene.

Abstract: Disclosed are a vehicle control apparatus and a vehicle control method. The vehicle control apparatus according to an embodiment of the present disclosure includes an input unit to receive current lane information, current traffic sign information, and current driver behavior information photographed by a photographing apparatus, a determination unit to determine whether a vehicle is in an inappropriate driving pattern based on the inputted current lane information and the current traffic sign information and to determine whether a driver is in a driver carelessness state based on the inputted current driver behavior information, and a controller to transmit a warning command to a warning apparatus so that the warning apparatus warns the driver that the driver is currently in a careless driving state if the vehicle is in the inappropriate driving pattern and the driver is in the driver carelessness state.

Abstract: A railway prediction system may include a memory configured to maintain at least one driver profile having driver specific factors, a controller coupled to the memory and programmed to receive route factors indicative of a route and a railway crossing along the route, and instruct an alert in response to the presence of the railway crossing, a threshold according to the driver-specific factors, and an indication of a lack of deceleration of the vehicle.

Abstract: This invention relates in general to the field of safety devices, and more particularly, but not by way of limitation, to systems and methods for providing advanced warning and risk evasion when hazardous conditions exist. In one embodiment, a vicinity monitoring unit is provided for monitoring, for example, oncoming traffic near a construction zone. In some embodiments, the vicinity monitoring unit may be mounted onto a construction vehicle to monitor nearby traffic and send a warning signal if hazardous conditions exist. In some embodiments, personnel tracking units may be worn by construction workers and the personnel tracking units may be in communication with the vicinity monitoring unit. In some embodiments, a base station is provided for monitoring activities taking place in or near a construction site including monitoring the locations of various personnel and vehicles within the construction site.

Abstract: A method for localization of a vulnerable road user (VRU) includes receiving a received signal strength indication (RSSI) level of a wireless signal of a mobile device carried by the VRU detected by a wireless sensor in an area of interest. The detected RSSI level is compared to RSSI fingerprints stored in a fingerprinting database (DB) so as to identify an RSSI fingerprint having a closest match to the detected RSSI level. The VRU is localized at a position stored in the fingerprinting DB for the identified RSSI fingerprint.

Abstract: A vehicle control device includes a space estimation unit that, in a case where it is recognized that a travel position of a host vehicle is inside a railroad crossing, which is a stop prohibited area, and it is recognized that a side road vehicle intends to enter in front of the host vehicle, on the assumption that the side road vehicle has entered in front of the host vehicle, estimates whether a space enough for the host vehicle is formed between the side road vehicle and the stop prohibited area, and a vehicle controller that, if it is estimated that the space is not formed, causes the host vehicle to perform entry prevention action to prevent the side road vehicle from entering in front of the host vehicle.

Abstract: Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.

Abstract: Systems and methods for dynamically defining a safety zone around a user are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, real-time safety data including a location of a remote participant device of a user; receiving, by the computing device, real-time driving event data from a remote vehicle; determining, by the computing device, a spatial safety zone for the remote participant device based on the real-time safety data and the real-time driving event data; determining, by the computing device, that the remote vehicle has entered the spatial safety zone; and sending, by the computer device, safety information regarding the user to the remote vehicle based on the remote vehicle entering the spatial safety zone.

Abstract: A crossing detection unit (21) detects a pedestrian who is about to cross a roadway on which a vehicle (100) travels. A behavior detection unit (22) detects a behavior of a nearby vehicle traveling around the vehicle (100). A stop determination unit (23) determines whether or not to stop the vehicle (100) in view of the detection of the pedestrian who is about to cross the roadway by the crossing detection unit (21) and the behavior of the nearby vehicle detected by the behavior detection unit (22). A vehicle control unit (24) stops the vehicle (100) before the pedestrian when the stop determination unit (23) determines to stop the vehicle.

Abstract: The present invention is configured such that a control device for a lane departure warning device that outputs a warning on the basis of the position relationship of a vehicle and a lane boundary line is equipped with a detection unit for detecting a switch of a brake from on to off, and a warning control unit for, when the detection unit has detected said switch, changing a warning threshold value to which vehicle position information is compared in the determination of whether or not to issue a warning to a value at which a warning is less likely to be issued as compared to when the detection unit has not detected said switch. The present invention thereby provides a control device for a lane departure warning device that is capable of reducing warnings which could be an annoyance to drivers.

Abstract: An adaptive cruise control (ACC) system and method based on peripheral situations of a vehicle are disclosed. The ACC system includes a peripheral environment detection sensor configured to detect a peripheral environment or situation of a host vehicle during an ACC process of the host vehicle, and an electronic control unit (ECU) configured to autonomously perform acceleration or deceleration control of the host vehicle according to an ACC target acceleration/deceleration amount suitable for the peripheral environment or situation detected by the peripheral environment detection sensor.

Abstract: Embodiments of the present invention relate to a control system and a control method for controlling memory modules. In the embodiments, the control system includes a central processing unit (CPU) and a plurality of memory modules, each of which includes a display unit and a micro control unit (MCU) configured to control the display unit. The CPU and the MCUs are connected through a bus, and the CPU instructs, according to a preset bus address, the MCUs to synchronously control the respective display units.

Abstract: Systems and methods are provided for automated activity suggestions based on wearable connectivity with vehicle systems. An example method includes collecting health data for an occupant of the vehicle from a wearable device worn by the occupant; determining a location of the vehicle; and suggesting an activity for the occupant based on the collected health data and the location of the vehicle.

Abstract: A driving assistance device includes a travel information acquisition unit, a first information acquisition unit, a second information acquisition unit, a first determination unit, a second determination unit, a first avoidance-amount setting unit, a second avoidance-amount setting unit, and a driving control unit. The second avoidance-amount setting unit sets, when the second avoidance-amount setting unit sets a control amount of a driving control as a second avoidance amount for performing a second avoidance driving action, the control amount smaller than a control amount that is set as a first avoidance amount by the first avoidance-amount setting unit, and sets, when the second avoidance-amount setting unit sets a start timing of the driving control as the second avoidance amount for performing the second avoidance driving action, the start timing later than a start timing that is set as the first avoidance amount by the first avoidance-amount setting unit.

Abstract: According to a control method for an electric vehicle of the present invention, when an electric vehicle (100) moves at a first velocity and approaches an object (200) on the basis of instructed information, the electric vehicle (100) is temporarily stopped at a position at which the distance between the electric vehicle (100) and the object (200) is a first stopping distance, after which the velocity is switched to a second velocity that is slower than the first velocity, the electric vehicle (100) is caused to approach the object (200), and the electric vehicle (100) is stopped at position at which the distance between the electric vehicle (100) and the object (200) is a second stopping distance that is shorter than the first stopping distance.

Abstract: A navigation system includes a processing device programmed to receive, from an image capture device, at least one image of an environment of the host vehicle; determine, based on at least one driving policy, a navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a target vehicle; test the navigational action against at least one accident liability rule for determining potential accident liability for the host vehicle relative to the target vehicle; if the test indicates that potential accident liability exists for the host vehicle if the navigational action is taken, then cause the host vehicle not to implement the navigational action; and if the test indicates that no accident liability would result for the host vehicle if the navigational action is taken, then cause the host vehicle to implement the navigational action.