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 road traffic information that is acquired by a road facility 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 road traffic information acquired by the acquisition section.

A system includes a processor and a memory storing instructions which when executed by the processor configure the processor to receive data from a plurality of sensors in a vehicle, the sensors including a Global Navigation Satellite System receiver, accelerometers, gyroscopes, and magnetometers; and to determine a location of the vehicle and a direction of motion of the vehicle based on the data and a history of locations of the vehicle in prior N seconds, where N is a number greater than 0. The instructions configure the processor to determine a permitted driving direction for the vehicle based on the location of the vehicle and a map database; and to detect whether the vehicle is moving in a wrong direction based on the permitted driving direction and the direction of motion of the vehicle.

According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.

A speed control device sets a target speed of the own vehicle to a basic speed that is a set speed set in advance or sets the target speed of the own vehicle to a basic speed that is a speed equal to or less than the set speed in which a distance to a preceding vehicle is maintained at a predetermined distance or more when there is a preceding vehicle. The speed control device sets the target speed of the own vehicle to a correction speed instead of the basic speed when the speed control device determines that an adjacent lane is congested and a speed difference between the speed of the own vehicle and an average speed or a lowest speed of another vehicle in the adjacent lane is equal to or more than a first reference value.

This disclosure relates to method and system for validating an Autonomous Vehicle (AV) stack. The method may include receiving an Operational Design Domain (ODD) and real-world data for evaluating at least one of an Advanced Driver Assistance System (ADAS) and the AV. The ODD is based on at least one feature of at least one of the ADAS and the AV. For each of a plurality of iterations, the method may further include generating a driving scenario based on the ODD of the AV and the real-world data through a Quality of Ride Experience (QoRE)-aware cognitive engine, plugging and running at least one of the ADAS and the AV algorithm based on the driving scenario, and determining a set of performance metrics corresponding to the at least one feature of at least one of the ADAS and the AV in the driving scenario based on the simulating.

A method for warning a driver of a motorcycle and a ride assistant controller for implementing or controlling such method are described. The method includes monitoring traffic situations based on signals from at least one sensor; upon detecting a critical traffic situation based on the signals from the at least one sensor, warning the driver by inducing an acceleration change onto the motorcycle; wherein a current lean angle of the motorcycle is monitored and a manner and/or degree of inducing the acceleration change onto the motorcycle is set taking into account the current lean angle of the motorcycle.

A method for driving a motor vehicle in an at least semiautomated manner. The method includes: receiving surrounding-area signals, which represent a first region of a surrounding area of the motor vehicle monitored with the aid of a surround-sensor system of the motor vehicle; receiving information signals, which represent information that is ascertained outside of the motor vehicle and is in regard to a second region of the surrounding area of the motor vehicle; generating and outputting control signals for controlling the lateral and/or longitudinal guidance of the motor vehicle on the basis of the surrounding-area signals and the information signals, in order to drive the motor vehicle in an at least semiautomated manner on the basis of the first region and the second region of the surrounding area of the motor vehicle. A device, a computer program, and a machine-readable storage medium, are also described.

Methods and systems are provided for selectively disabling a stop-start function of a vehicle based on a predicted anxiety of a driver of the vehicle upon merging into transverse traffic. In one example, selectively disabling the stop-start function of a vehicle based on a predicted anxiety of the driver of the vehicle includes, when approaching an intersection having a first traffic pattern, disabling a stop-start function responsive to an estimated merging acceleration for the intersection exceeding a threshold acceleration rate of the vehicle.

Disclosed are an intersection driving control system and method for vehicles, the intersection driving control system for vehicles including a monitoring array configured to recognize and monitor peripheral vehicles driving proximate to a host vehicle, a pattern detector configured to detect reduction patterns of the peripheral vehicles in a longitudinal direction, and an intersection entry confirmer configured to confirm whether the host vehicle enters an intersection based on whether the longitudinal reduction patterns of the peripheral vehicles are similar to an intersection entry pattern.

The present invention has an object of determining feasibility of lowering a driving automation level of an automated driving vehicle, based on a driving load considering a relationship with surrounding vehicles. An automatic-driving-level lowering feasibility determination apparatus according to the present invention includes: a surrounding vehicle information obtainment unit obtaining surrounding vehicle information; a driving load calculator calculating, based on the surrounding vehicle information, a driving load value indicating a magnitude of a driving load on the subject vehicle; a driving-automation-level lowering feasibility determination unit determining feasibility of lowering a driving automation level of the subject vehicle, based on the driving load value; and an output controller outputting, to an automated driving control device, a result of the feasibility determined by the driving-automation-level lowering feasibility determination unit.