Determination of a trajectory for a first vehicle (1) by model predictive control (MPC) is provided. Trajectory information about a second vehicle (18) traveling in the area ahead of the first vehicle (1) is utilized. In particular, discretization points (P.sub.1, P.sub.2, P.sub.3) and arrival times of the vehicles (1, 18) at the discretization points (P.sub.1, P.sub.2, P.sub.3) are utilized to generate constraints for the model predictive control of the first vehicle (1).

An autonomous vehicle (AV) implements a notification system that provides notifications to user devices in nearby vehicles to alert drivers of the nearby vehicles of the AV's planned behavior. The notifications are delivered wirelessly and output by the user device to the drivers. The planned behaviors of the AV may not be conveyed by existing mechanisms, such as turning signals or hazard lights. The AV or the receiving user device may determine when an AV's planned behavior may impact a particular driver, and provide relevant notifications to the driver.

Disclosed are an apparatus and method for preventing a vehicle collision. The apparatus includes a communication unit wirelessly communicating with a surrounding vehicle, a sensing unit detecting the surrounding vehicle and a lane, a traveling control module configured to control steering or braking of an ego vehicle, and a controller configured to determine whether the ego vehicle can perform steering avoidance driving toward a neighboring lane, through the sensing unit, based on information on a driving mode of a vehicle ahead received through the communication unit, if it is checked through the communication unit that a vehicle ahead of the vehicle ahead is in a stop state and to control the ego vehicle to perform the steering avoidance driving toward the neighboring lane or to urgently brake through the traveling control module, based on a result of the determination.

A roadmanship system comprises a computational device and a vehicle comprising a plurality of sensors and a vehicle control system in communication with the computational device and the plurality of sensors. The computational device can be configured to: (i) receive driving data from a group of vehicles; (ii) calculate a regression curve based on the driving data; (iii) calculate a threshold value of an engineering parameter based on the regression curve and a predetermined roadmanship level; and (iv) output the threshold value to the vehicle control system. The vehicle control system can be configured to: (a) receive the threshold value from the computational device; (b) receive operational information associated with at least one of the vehicle and a driving environment surrounding the vehicle from the plurality of sensors; and (c) cause the vehicle to perform a vehicle maneuver based on the threshold value and the operational information.

A vehicle type database includes a plurality of vehicle type profiles. Each of the vehicle type profiles is associated with a vehicle type having a vehicle type specific aerodynamic profile and includes optimal following ranges associated with the vehicle type. Each of the optimal following distance ranges is based on the vehicle type specific aerodynamic profile of the vehicle type and a vehicle speed of the vehicle type wherein a trailing vehicle disposed in the optimal following range is configured to operate at an optimal fuel efficiency. A first optimal following distance range is identified based on a first vehicle type and a first vehicle speed using a first vehicle type profile associated with the first vehicle type. A command is issued to the AR vehicle HUD display system to display a graphical representation of the first optimal following distance to overlay an actual view of the road.

The travel assistance apparatus includes: a first Operating System (OS) that controls execution of at least one of a first application and/or a second application, the first application being for specifying a first travel control amount of a vehicle based on first movement information on a position and a speed of an object around the vehicle, the second application being for specifying a second travel control amount of the vehicle based on second movement information on a position and a speed of the object; a second OS that controls execution of a third application for performing travel control of the vehicle based on at least one of the first travel control amount and/or the second travel control amount; and a hypervisor that is executed on a processor and controls execution of the first OS and the second OS.

An apparatus for controlling backward driving of a vehicle including: a driving trajectory generation unit configured to generate a driving trajectory for backward driving of an ego vehicle on a target path, using sensing information acquired while the ego vehicle drives forward along the target path; and a control unit configured to control the backward driving of the ego vehicle on the target path according to the driving trajectory generated by the driving trajectory generation unit, correct the driving trajectory using driving information of another vehicle, which has driven backward on the target path before the ego vehicle, when a change on the target path is sensed in comparison to during the forward driving of the ego vehicle during the process of controlling the backward driving of the ego vehicle, and control the backward driving of the ego vehicle according to the corrected driving trajectory.

A method of controlling a primary vehicle (18) comprising an automated driving system (20) for driving the primary vehicle autonomously when the primary vehicle is in an autonomous mode, the primary vehicle also being operable manually by a driver when in a manual mode, the method comprising: determining failure of the driver to accept a request to switch the primary vehicle to the manual mode when the vehicle is in the autonomous mode; determining a primary vehicle driving state; acquiring vehicle data for one or more surrounding secondary vehicles (22); determining a contingency action to take with the primary vehicle based on the primary vehicle driving state and the vehicle data for the or each secondary vehicle; and outputting the contingency action to at least one system of the primary vehicle to drive the primary vehicle autonomously in accordance with the determined contingency action.

A vehicular breaking force control system that includes a control device including a processor that acquires a plurality of longitudinal accelerations from a driving assistance system, and calculates a driving/braking request when the vehicle is in a coasting state in which an acceleration operation or a deceleration operation are not performed during running of the vehicle. The processor further acquires a driving force lower limit set for a powertrain actuator having a set gear ratio, and distributes the driving/braking request to at least one of (i) a powertrain system including the powertrain actuator and (ii) a brake system including a brake actuator. The driving/braking request is distributed to the at least one of the powertrain system and the brake system based on the acquired driving force lower limit.

The present invention relates to a method for providing a route stipulation for a route system of a vehicle, comprising the following steps: providing a plurality of detected trajectories of further vehicles in a route section to be used, ascertaining a trajectory stipulation from the detected trajectories, ascertaining a deviation zone from the detected trajectories, wherein the deviation zone is determined on the basis of a deviation of at least individual detected trajectories from the trajectory stipulation, determining the route stipulation at least on the basis of the trajectory stipulation and the deviation zone.