In a vehicle control system that controls a platoon travel in which a plurality of vehicles travel in a platoon, the plurality of vehicles include a leading vehicle that is an autonomous driving vehicle and a following vehicle that follows immediately after the leading vehicle or follows the leading vehicle via one or more vehicles, and the following vehicle is permitted to park in a parking frame that exists in a range of detection performed by an external sensor mounted on the leading vehicle and configured to detect a surrounding environment of the leading vehicle.

In a vehicle control system that controls a platoon travel in which a plurality of vehicles travel in a platoon, the plurality of vehicles include a leading vehicle that is an autonomous driving vehicle and a following vehicle that follows immediately after the leading vehicle or follows the leading vehicle via one or more vehicles, and the following vehicle is permitted to park in a parking frame that exists in a range of detection performed by an external sensor mounted on the leading vehicle and configured to detect a surrounding environment of the leading vehicle.

The invention relates to a method for trajectory planning of a driver assistance system, particularly an assistance system for longitudinal and/or transverse control, in which a trajectory (T1, T3-T7) having a total duration (t.sub.e) which can be set is determined and the trajectory (T3, T5, T7) is divided into segments, wherein each segment has a variable segment duration (Δt.sub.1, Δt.sub.2, Δt.sub.3) and the total of the segment durations (Δt.sub.1, Δt.sub.2, Δt.sub.3) corresponds to the set total duration (t.sub.e) of the trajectory (T3, T5, T7).

The present invention obtains a controller and a control method capable of appropriately assisting with driving of a motorcycle by a rider.

A controller that controls operation of the motorcycle, to which a surrounding environment detector is mounted, includes: an acquisition section that acquires information on the surrounding environment of the motorcycle on the basis of output of the surrounding environment detector during travel of the motorcycle; and an adaptive cruise operation performing section that makes the motorcycle perform adaptive cruise operation on the basis of the surrounding environment information acquired by the acquisition section. The acquisition section acquires other vehicle travel state information that is information on a travel state of other vehicle acquired by a different vehicle from the motorcycle via wireless communication. The controller further includes a safety operation performing section that makes the motorcycle currently performing the adaptive cruise operation perform safety operation on the basis of the other vehicle travel state information acquired by the acquisition section.

The present invention obtains a controller and a control method capable of appropriately assisting with driving of a motorcycle by a rider.

A controller that controls operation of the motorcycle, to which a surrounding environment detector is mounted, includes: an acquisition section that acquires information on the surrounding environment of the motorcycle on the basis of output of the surrounding environment detector during travel of the motorcycle; and an adaptive cruise operation performing section that makes the motorcycle perform adaptive cruise operation on the basis of the surrounding environment information acquired by the acquisition section. The acquisition section acquires other vehicle travel state information that is information on a travel state of other vehicle acquired by a different vehicle from the motorcycle via wireless communication. The controller further includes a safety operation performing section that makes the motorcycle currently performing the adaptive cruise operation perform safety operation on the basis of the other vehicle travel state information acquired by the acquisition section.

An adaptive cruise control system for a vehicle, includes: a stop location determination system configured to determine a stop location where the vehicle will have to stop because of a possible event occurring ahead of the vehicle on a road where the latter is moving; a cross traffic location determination system configured to determine whether the determined stop location is a location where cross traffic can occur, called cross traffic location; and an adaptive control system configured to adapt at least one driving control of the vehicle, based on the determination that the determined stop location is a cross traffic location.

A driving assistance apparatus includes an estimator and a controller. The estimator estimates a first estimated vehicle speed and a second estimated vehicle speed when there are a first deceleration target and a second deceleration target in a course ahead of a vehicle, and when a driver of the vehicle releases an accelerator pedal. Wherein the first estimated vehicle speed is an estimated vehicle speed of the vehicle at a first target position corresponding to the first deceleration target, and the second estimated vehicle speed is an estimated vehicle speed of the vehicle at a second target position corresponding to the second deceleration target. The controller controls the vehicle to automatically decelerate toward the second target position when the first estimated vehicle speed is greater than a first predetermined value, and when the second estimated vehicle speed is less than a second predetermined value.

Systems and methods for managing environmental conditions for an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes a perception sensor configured to generate perception data indicative of a condition of the environment, a network communication transceiver configured to communicate with an oversight system and an external weather condition source, a non-transitory computer readable medium, and a processor. The processor is configured to: receive the perception data from the at least one perception sensor, receive an indication of current weather conditions from the external weather condition source, determine a current environmental condition severity level from a plurality of severity levels based on the perception data and the indication of current weather conditions, modify one or more driving parameters that that govern a range of actions that can be autonomously executed by the autonomous vehicle, and navigate the autonomous vehicle based on the modified driving parameters.

A vehicle control system includes a direction detector configured to detect a direction of a face or line of sight of an occupant of a host vehicle; an automated driving controller configured to execute automated driving; and a switching controller configured to switch an automated driving mode executed by the automated driving controller to any one of a plurality of automated driving modes including a first automated driving mode in which a predetermined task is required of the occupant or a predetermined automation rate is set and a second automated driving mode in which a level of the task required of the occupant is lower than in the first automated driving mode or an automation rate is lower than in the first automated driving mode, wherein the switching controller includes the direction detected by the direction detector being a predetermined direction in switching conditions for switching from the second automated driving mode to the first automated driving mode.

A vehicle control device or method controls an output of a drive source of a vehicle based on a color of an illuminated signal of a traffic light in a vehicle-advancing direction during travel in autonomous driving. The vehicle control device includes a control unit that estimates the color of the currently illuminated signal of the traffic light based on oncoming vehicle information and controls the output of the drive source based on an estimation result when the color of the illuminated signal of the traffic light cannot be acquired by the onboard camera. The control unit limits the output of the drive source and reduces a vehicle speed from a current vehicle speed to a vehicle speed at which fuel efficiency is superior to that at the current vehicle speed when the color of the illuminated signal of the traffic light is estimated to be red.