A calculation apparatus includes a control unit configured to calculate a necessary distance that is necessary for a vehicle to perform lane change from a first travel lane to a second travel lane by combining a first distance that the vehicle travels while the vehicle waits to start the lane change, a second distance that the vehicle travels while a speed of the vehicle is adjusted, and a third distance that the vehicle travels while executing the lane change.

The present application discloses a method and an apparatus for autonomous driving control, an electronic device, and a storage medium; the application relates to the technical field of autonomous driving. A specific implementation solution is: obtaining movement data of a pedestrian, where the movement data includes a velocity component of the pedestrian along a width direction of a lane and a time of duration that the pedestrian cuts into a driving path of the autonomous vehicle from one side; determining a movement direction of the pedestrian according to the movement data and the movement information of the pedestrian; and generating a driving strategy for the autonomous vehicle according to the movement direction of the pedestrian. Therefore, the movement direction of the pedestrian can be accurately predicted, which facilitates the autonomous vehicle to avoid the pedestrian and insures driving safety.

In some aspects, a safety system may be configured to receive vehicle position data indicating a position of a vehicle, determine a first lane segment in a lane coordinate system based on the vehicle position data, the first lane segment being a lane segment in which the vehicle is located, determine a relevant set of lane segments based on a safety-range from the first lane segment, determine or receive obstacle position data indicating a second lane segment in the lane coordinate system, the second lane segment being a lane segment in which an obstacle is located, and classify the obstacle either as a non-relevant obstacle in the case that the second lane segment is not included in the relevant set of lane segments, or as a relevant obstacle in the case that the second lane segment is included in the relevant set of lane segments.

A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.

The present invention provides a control system and a control method capable of appropriately supporting driving of a motorcycle by a rider. The control system includes a tracking target vehicle identifying unit that identifies a tracking target vehicle of adaptive cruise operation, a vehicle position information acquiring unit that acquires information on the relative position of the tracking target vehicle with respect to the motorcycle during traveling, a control amount setting unit that sets a control amount in the adaptive cruise operation, and an execution unit that causes the motorcycle to execute the adaptive cruise operation, and further includes a lane position information acquiring unit that acquires information on the relative position of a lane boundary with respect to the motorcycle during traveling, in which the tracking target vehicle identifying unit identifies the tracking target vehicle, based on the position information acquired by the lane position information acquiring unit.

A method for operating a vehicle in an automatic driving operation not requiring any user action which can be deactivated by a deactivation action of a driver of the vehicle includes, during the automatic driving operation in a learning phase, driving situations in which the driver deactivates the automatic driving operation are recorded by a surroundings recording device and the recorded driving situations are stored in a memory as subjectively critical driving situations. The method further includes, during an operating phase of the automatic driving operation, comparing a currently recorded driving situation to the stored subjectively critical driving situations and emitting a warning to the driver when the currently recorded driving situation matches one of the stored subjectively critical driving situations within a tolerance range.

The present disclosure relates to an autonomous vehicle system or a driver assistance system that detects an object in front of the vehicle, judges whether a condition calls for an operation of a lateral movement system for collision avoidance, determines a direction of the lateral movement, and executes the lateral movement.

A method that may include receiving driving information and environmental metadata indicative of information sensed by the vehicle; detecting multiple driving events encountered during the driving over the path; determining driving events; for each driving event, determining a comfort based autonomous driving pattern information; for each driving event, determining an driving event identifier; and storing in at least one data structure a driving event identifier for each one of the multiple types of driving events, and a comfort based autonomous driving pattern information.

The present disclosure provides a method, an apparatus, a device and a readable storage medium for planning a pass path. The method includes: acquiring current road environment information in front of a vehicle; setting pass candidate points according to the current road environment information and a driving strategy; and determining a current optimal passable path according to the pass candidate points. Since the pass candidate points are set according to the current road environment information and the driving strategy, and the current optimal passable path is determined according to the pass candidate points, thereby effectively decreasing the calculation amount of the impassable path calculation in prior art due to direct setting of pass candidate points in all areas in front of an unmanned vehicle.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a heading angle of a target vehicle, determine a distance between a host vehicle and a center line of the target vehicle based on the predicted heading angle, and perform a threat assessment for the target vehicle when the distance is below a threshold.