A method detects a risk of collision between a motor vehicle and a secondary object located in traffic lanes adjacent to the main traffic lane of the vehicle, in the event of a lane change by the vehicle, which involves detecting objects in a predetermined danger zone, and estimating a time-to-collision between the vehicle and a detected object. Detecting objects in a danger zone involves: calculating the actual distance between the vehicle and each object detected by the radar, the actual distance corresponding to the length of an arc between two points; determining a danger zone as a function of lines of the main traffic lane and a width of the main traffic line; and checking, for each object detected by the radar, whether its coordinates are inside the predetermined danger zone.

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.

Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.

A drive assistance device includes an automatic brake unit configured to perform automatic brake control, a brake hold unit configured to perform a brake hold control keeping the vehicle stopped, a brake hold cancel unit configured to cancel the brake hold control when it is determined that a predetermined cancel condition is satisfied, a surroundings information obtaining unit configured to obtain surroundings information indicating a situation around the vehicle, a maneuver information obtaining unit configured to obtain maneuver information about a driving maneuver performed by a driver of the vehicle, a maneuver determination unit configured to determine, based on the surroundings information and the maneuver information whether the driving maneuver performed during the brake hold control is appropriate for the situation around the vehicle, and a prohibition unit configured to prohibit cancelling the brake hold control as long as it is determined that the driving maneuver is inappropriate.

Drive envelope determination is described. In an example, a vehicle can capture sensor data while traversing an environment and can provide the sensor data to computing system(s). The sensor data can indicate agent(s) in the environment and the computing system(s) can determine, based on the sensor data, a planned path through the environment relative to the agent(s). The computing system(s) can also determine lateral distance(s) to the agent(s) from the planned path. In an example, the computing system(s) can determine modified distance(s) based at least in part on the lateral distance(s) and information about the agents. The computing system can determine a drive envelope based on the modified distance(s) and can determine a trajectory in the drive envelope.

Traversing, by an autonomous vehicle, a vehicle transportation network, may include identifying a distinct vehicle operational scenario, wherein traversing the vehicle transportation network includes traversing a portion of the vehicle transportation network that includes the distinct vehicle operational scenario, communicating shared scenario-specific operational control management data associated with the distinct vehicle operational scenario with an external shared scenario-specific operational control management system, operating a scenario-specific operational control evaluation module instance including an instance of a scenario-specific operational control evaluation model of the distinct vehicle operational scenario, and wherein operating the scenario-specific operational control evaluation module instance includes identifying a policy for the scenario-specific operational control evaluation model, receiving a candidate vehicle control action from the policy for the scenario-specific operational control evaluation model, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

Method and device for autonomous driving of a vehicle on a roadway in a direction of travel. A trajectory for driving on the roadway in the direction of travel is determined. A bending strip of limited length defines the trajectory, wherein the bending strip is fixed at one end thereof in a node which defines a starting point of the trajectory. A course of the trajectory is determined, starting from the starting point, in dependence on a bending line of the bending strip, which line extends, starting from the node, to the other end of the bending strip. A representation of a roadway boundary defines a boundary condition for the determination of the trajectory. A quality measure is defined in dependence on a property of the bending strip. The bending line which satisfies the boundary condition and for which the quality measure has an extremal value is determined.

When a vehicle heads from a first road toward a second road which at least partially intersects with the first road while traveling, other vehicle heads from the second road to a first road side, and a future trajectory in which the vehicle travels and a future trajectory in which the other vehicle travels intersect with each other, a vehicle control device determines whether to cause the vehicle to pass through an intersection area in which the first road and the second road intersect with each other with priority over the other vehicle on the basis of the state of the vehicle and the future position of the other vehicle and controls the vehicle on the basis of a result of the determination.

System, methods, and other embodiments described herein relate to dynamically determining an appropriate responsive action for a moving vehicle that encounters a roadside pedestrian and stationary vehicle. In one embodiment the disclosed system identifies a stationary vehicle in an environment of a subject vehicle based at least in part on information from a plurality of sensors disposed on the subject vehicle and determines a classification for the stationary vehicle as valid or abandoned based at least in part on the information from the plurality of sensors. A classification of valid indicates that the subject vehicle is recommended to undertake an action relative to the stationary vehicle. The disclosed generates a score based at least in part on the classification, the score indicating a recommended trajectory modification for the subject vehicle, and modifies a trajectory of the subject vehicle based on score.

A stability control method of a vehicle includes: determining possibility of broadside collision; as a result of the determining, when the possibility of broadside collision is present, applying a standby hydraulic pressure to a hydraulic brake device; when broadside collision is detected, performing evasion steering using the hydraulic brake device in consideration of a direction of the broadside collision; and performing stability control after the evasion steering is performed.