Methods for personalized driving of autonomously driven vehicles include: (a) downloading at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and (b) executing one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver. Apparatuses for personalized driving of autonomously driven vehicles are described.

An adaptive cruise control system for motor vehicles, including a sensor for measuring the distance to a preceding vehicle and an adaptive cruise controller for calculating control interventions into the drive system and/or braking system of the host vehicle for regulating the distance to a setpoint distance, a detuning parameter being adjustable in the adaptive cruise controller, which determines the intensity of the response of the adaptive cruise controller to control deviations, wherein a traffic jam detection module and a detuning controller which, with the detuning parameter as a manipulated variable, adjust the frequency of control interventions having an intensity above a certain minimum intensity to a setpoint frequency adapted to the traffic jam situation.

A control system for a vehicle comprises an automated driving control part configured to automatically perform driver assistance operations for which the driver has given permission among a plurality of driver assistance operations. The automated driving control part comprises a package determining part using at least one of the surrounding environment information, the host vehicle information, and the driver information as the basis to determine a driver assistance package packaging permissions for a plurality of driver assistance operations and a package proposing part proposing to the driver to switch to a driver assistance package so as to obtain permissions for the individual driver assistance operations permitted in the driver assistance package.

In a vehicle control device, environmental information is acquired which is information about an environment in which a vehicle is placed. The environmental information precludes an obstacle around the vehicle. A possibility is estimated for potential proximity of the vehicle to the obstacle. A behavior of a predicted target moving object including the vehicle and at least one moving object around the vehicle is predicted based on the estimated possibility. A responsibility is determined for a potential accident that is assumed in response to the vehicle traveling on a candidate route that the vehicle travels.

A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

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.

A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.

A vehicle control device includes a recognizer configured to recognize a surrounding situation of a host vehicle and a driving controller configured to control acceleration/deceleration and steering of the host vehicle on the basis of a recognition result of the recognizer, wherein the driving controller holds a target position selected from one or more target position candidates from a start time point according to a type of lane change to a point in time at which a prescribed condition is satisfied when the driving controller causes the host vehicle to make the lane change.

Systems and methods for driving trajectory planning of an automated vehicle. The system includes an electronic processor configured to determine a lane segment graph indicating allowable transitions between a plurality of lane segments. The electronic processor is also configured to determine a current type of traffic flow situation. The electronic processor is further configured to determine weighting factors for each of the allowable transitions based on aggregate observations of previous real-world traffic flow transitions for the current type of traffic flow situation. Each of the weighting factors indicate a likelihood of transition for a respective one of the allowable transitions. The electronic processor is also configured to determine a weighted lane segment graph based at least in part on the weighting factors. The electronic processor is further configured to determine a driving trajectory of the automated vehicle based at least in part on the weighted lane segment graph.