An adaptive cruise control for a motor vehicle includes a detection module for detecting a vehicle ahead, a production module capable of producing a setpoint, a storage module configured to store a value corresponding to the setpoint, a chronometer configured to be initialized and activated at a moment when the vehicle stops, and a reinitialization module for reinitializing the storage module. This cruise control includes a setup module capable of determining a limit according to the environment of the vehicle. The reinitialization module reinitializes the value stored by the storage module if the chronometer provides a duration greater than the limit.

The present disclosure provides a method and a device for autonomous driving control, a vehicle, a storage medium and an electronic device. The method includes: obtaining first actual position data of a first vehicle body; obtaining relative position data between a second vehicle body and the first vehicle body; determining second actual position data of the second vehicle body according to the first actual position data and the relative position data, so that the vehicle performs autonomous driving control according to the first and second actual position data. The method can obtain the relative position between two vehicle bodies connected in the non-rigid manner and the real-time positions of the two vehicle bodies under different driving conditions in real time during the driving, can accurately depict the dynamic characteristics of two vehicle bodies, so that the vehicle performs autonomous driving control according to the first and second actual position data.

A motion planning system includes: a processor; and memory to store instructions that when executed by the processor, cause the processor to: identify a reference path between a departure point and a destination point in an environment including one or more obstacles; generate decomposition segments of a space surrounding the reference path, the decomposition segments including a first free-space segment and a second free-space segment that are devoid of the obstacles; generating a first path segment relative to the reference path for traversing the first free-space segment, and a second path segment relative to the reference path for traversing the second free-space segment; and connecting the first and second path segments to each other to generate a navigational path to traverse the environment.

A method and device for operating a Self-Driving Car (SDC) are disclosed. The device executes in real-time a first processing pipeline including generating static attributes for a plurality of potential positions of the SDC on the road segment, and caching the static attributes in association with the respective ones of the plurality of potential positions. The device executes in real-time a second processing pipeline in parallel with the first processing pipeline including generating a graph-structure for operating the SDC on the road segment. The generating the graph-structure includes generating dynamic attributes for a given edge of the graph-structure, acquiring from the cache memory static attributes for the given edge of the graph-structure, such that the given edge in the graph-structure is associated with the static attributes generated by the first processing pipeline and with the dynamic attributes generated by the second processing pipeline.

Disclosed herein an apparatus for assisting driving of a vehicle includes a camera installed in the vehicle, having a rear field of view of the vehicle, and obtaining image data; and a controller configured to process the image data; wherein the controller is configured to identify a rear object that interferes with a driving of the vehicle based on processing the image data, control at least one of a display device and an audio device of the vehicle to output a message for inducing a lane change of the vehicle based on an expected collision time remaining until a collision between the vehicle and the rear object being less than or equal to a first reference time, and control a steering device of the vehicle to apply a first torque for performing the lane change of the vehicle based on the expected collision time being less than or equal to a second reference time that is smaller than the first reference time.

The technology involves to pickups performed by autonomous vehicles. In particular, it includes identifying one or more potential pullover locations adjacent to an area of interest that an autonomous vehicle is approaching. The vehicle detects that a given one of the potential pullover locations is occupied by another vehicle and determines whether the other vehicle will be vacating the given pullover location within a selected amount of time. Upon determining that the other vehicle will be vacating the given potential pullover location within the timeframe, the vehicle determines whether to wait for the other vehicle to vacate the given pullover location. Then a driving system of the vehicle either performs a first action in order to wait for the other vehicle to vacate the given pullover location or performs a second action that is different from the first action when it is determined to not wait.

A parking assistance apparatus obtains a target travelling route including a forward section and a backward section and lets a vehicle move along the target travelling route such that the vehicle reaches a target parking position. The parking assistance apparatus execute a collision avoidance processing when an obstacle which is closer than a threshold distance is detected while the vehicle moves along the target travelling route. The distance between the vehicle and a specific region is kept to be larger than a clearance distance while the vehicle moves along the backward section such that the obstacle for the collision avoidance processing which cannot be detected while the vehicle moves along the forward section will not be found while the vehicle moves along the backward section. The specific region is determined on the basis of a detection region of a sensor device for detecting the obstacle and the threshold distance.

When a driving assist ECU determines that a mistaken pedal operation has occurred, it starts an automatic brake control, and thereafter, ends the automatic brake control when a steering operation rate ω is greater than a threshold ωf (ω>ωf). Whereas, when the ECU determines that the mistaken pedal operation has not occurred, it performs a steering override control and does not perform the automatic brake control, when a steering operation amount θ is greater than a threshold θe or when the steering operation rate ω is greater than the threshold.

A system of a first vehicle includes sensors and a processor that performs generating of an initial trajectory along a travel route of the first vehicle, acquiring trajectories of second vehicles along the route, adjusting the initial trajectory based on the acquired trajectories of the second vehicles, and navigating the first vehicle based on the adjusted initial trajectory.

A method automatically controls an actuator of a control system of an automotive device. The method includes determining a reference trajectory, determining a position of the device with respect to the reference trajectory, acquiring a parameter relating to a force exerted by a driver on a manual control device of the control system, and calculating a controlling setpoint of the actuator. The controlling setpoint is calculated as a function of the parameter and of the position of the device with respect to the reference trajectory.