A system for data-driven, modular decision making and trajectory generation includes a computing system. A method for data-driven, modular decision making and trajectory generation includes: receiving a set of inputs; selecting a learning module such as a deep decision network and/or a deep trajectory network from a set of learning modules; producing an output based on the learning module; repeating any or all of the above processes; and/or any other suitable processes. Additionally or alternatively, the method can include training any or all of the learning modules; validating one or more outputs; and/or any other suitable processes and/or combination of processes.

This invention provides a secure self-driving system or drive-assisting system. A drive control system of the present invention has an image recognition unit for detecting the peripheral environment of a vehicle and a drive control apparatus that controls driving of the vehicle, characterized by having a peripheral environment storage unit for storing the peripheral environment of the vehicle and by changing a mode of drive control performed by the drive control apparatus on the basis of a detection performance status of the image recognition unit obtained on the basis of information about the peripheral environment stored in the peripheral environment storage unit and information detected by the image recognition unit.

System, methods, and other embodiments described herein relate to improving right-of-way determinations at an intersection. In one embodiment, a method includes acquire, in a lead vehicle that is a cloud leader of a micro-cloud, observations about the intersection for a set of vehicles including at least one remote vehicle. The set of vehicles are approaching the intersection. The remote vehicle and the lead vehicle are members of the micro-cloud. The method includes deriving an assignment of right-of-ways indicating an order about how the set of vehicles may proceed through the intersection. The method includes providing the assignment to at least the remote vehicle to control right-of-way at the intersection.

The invention relates to a method for operating a vehicle with a drive device (20) which has at least one internal combustion engine (21) as a drive machine, wherein a drive torque requested by a driver of the vehicle (1) is implemented by operating at least the internal combustion engine (21) on a roadway (2), comprising the following steps: a) Monitoring the roadway (2) for road users (3) travelling ahead, by means of a surroundings sensor system (5), b) Monitoring a driver of the vehicle (1) by means of a state sensor system (8) with respect to his request to carry out an overtaking process in order to overtake a detected road user (3) travelling ahead, and if a request to carry out an overtaking process has been detected, c) Actuating the drive device (20) to prepare the overtaking process in such a way that before the overtaking process is carried out a torque reserve of the internal combustion engine (21) is built up.

The present application discloses an intelligent driving system with an embedded driver model. The system includes a driver model module that can tune vehicle performances according to driving characteristics of a driver and road environment. Applying the system provided by the present application to vehicle control systems, the driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.

A determination is made regarding whether an autonomous motor vehicle is located on a specified lane marking. If so, the autonomous motor vehicle is controlled on the specified lane marking and the vehicle speed is limited to a specified speed value. If the autonomous motor vehicle is not located on the specified lane marking, the vehicle speed is limited to a specified safe value.

A braking control system includes obstacle detection means for detecting an obstacle ahead of a vehicle, first collision determination means for determining whether the vehicle would collide with the obstacle ahead of the vehicle, following vehicle detection means for detecting a following vehicle traveling behind the vehicle, information acquisition means for acquiring a maximum deceleration set in the following vehicle, second collision determination means for determining whether the following vehicle would collide with the vehicle based on the maximum deceleration, and braking control means for controlling braking means of the vehicle so that an absolute value of a deceleration of the vehicle does not exceed an absolute value of the maximum deceleration of the following vehicle when the first collision determination means determines that the vehicle would collide with the obstacle and the second collision determination means determines that the following vehicle would collide with the vehicle.

A vehicle system includes: at least one of (a) an advanced driving system configured to aid a driver of a vehicle in performance of at least one driving maneuver based on input from at least one of a sensor and a camera and (b) an advanced driving feature; and a usage module configured to: when the at least one of (a) the advanced driving system and (b) the advanced driving feature is off, determine whether the at least one of (a) the advanced driving system and (b) the advanced driving feature could be on and used based on at least one of: at least one present vehicle operating parameter; at least one present road parameter; at least one present traffic parameter; and at least one present environmental parameter.

Provided is a driving support device which can perform an effective warning to occupants of the vehicle in order to avoid collision between one's own vehicle and another vehicle. A driving support device 11 includes: an acoustic device 91; an outside-world information acquisition unit 40; a relative distance measurement unit 201 which measures the relative distance from another vehicle 300 traveling ahead of the vehicle 1 based on the outside-world information acquired by the outside-world information acquisition unit 40; and a music control unit 202 which control music outputted by an acoustic device 91, in which the music control unit 202 modulates the tone of music according to the relative distance, in the case of the relative distance becoming no more than a first predetermined distance D1, in a state of outputting music by the acoustic device 91.

A vehicular hazard mitigation system includes one or more processors and a memory communicably coupled to the processors. The memory may store a vehicular hazard mitigation module including computer-readable instructions that when executed by the processors cause the processors to determine a base vehicle currently driving in an enhanced response driving mode. After determining the base vehicle, at least one alert zone of the base vehicle is determined. A determination is then made as to whether at least one other vehicle is currently in the at least one alert zone of the base vehicle. If at least one other vehicle is currently in the at least one alert zone of the base vehicle, the vehicular hazard mitigation module may autonomously control operation of the base vehicle to shift the driving mode of the base vehicle from the enhanced response driving mode to a non-enhanced response driving mode.