A vehicle can traverse an environment along a first region and detect an obstacle impeding progress of the vehicle. The vehicle can determine a second region that is adjacent to the first region and associated with a direction of travel opposite the first region. A cost can be determined based on an action (e.g., an oncoming action) to utilize the second region to overtake the obstacle. By comparing the cost to a cost threshold and/or to a cost associated with another action (e.g., a “stay in lane” action), the vehicle can determine a target trajectory that traverses through the second region. The vehicle can traverse the environment based on the target trajectory to avoid, for example, the obstacle in the environment while maintaining a safe distance from the obstacle and/or other entities in the environment.

An electric vehicle includes a vehicle controller. The vehicle controller is capable of switching a traveling mode of the electric vehicle between a first traveling mode and a second traveling mode that applies driving-force maps for enhancing a rough-road capability from a rough-road capability in the first traveling mode. The vehicle controller is capable of switching the traveling mode to the second traveling mode in forward traveling and in backward traveling and is configured to apply, to the backward traveling in the second traveling mode, a first driving-force map of the driving-force maps, the first driving-force map having gentler characteristics than a second driving-force map of the driving-force map applied to the forward traveling in the second traveling mode.

A vehicle is provided including an electronic power steering system, an electronic throttle control system, and a stability control system.

A method for off road driving, the method may include obtaining environment sensed information about an environment of a vehicle of a certain model, by one of more vehicle sensors of the vehicle and while driving over an off road path; detecting, by a machine learning process, an off road driving event; determining, by the machine learning process, a characteristic behavior of vehicles of the certain model when facing the off road driving event; and responding, at least in part by the machine learning process, to the occurrence of the off road driving event.

A computer in a vehicle is configured to operate the vehicle in at least one of an autonomous and a semi-autonomous mode. The computer is further configured to detect at least one condition of a roadway being traveled by the vehicle, the condition comprising at least one of a restricted lane, a restricted zone, a construction zone, and accident area, an incline, a hazardous road surface. The computer is further configured to determine at least one autonomous action based on the condition, the at least one autonomous action including at least one of altering a speed of the vehicle, controlling vehicle steering, controlling vehicle lighting, transitioning the vehicle to manual control, and controlling a distance of the vehicle from an object.

A vehicle is provided including an electronic power steering system, an electronic throttle control system, and a stability control system.

A road surface condition is determined appropriately. A road surface determining section (84) configured to determine a road surface condition with reference to a wheel speed signal indicative of wheel speeds includes a band-stop filter (841) which acts on the wheel speed signal and has a cutoff frequency band which is changed in accordance with the wheel speed signal.

The present disclosure generally relates to processing visual data of a road surface that includes a vertical deviation with a lateral slope. In some embodiments, a system determines a path expected to be traversed by at least one wheel of the vehicle on a road surface. In some embodiments, a system determines, using at least two images captured by one or more cameras, a height of the road surface for at least one point along the path to be traversed by the wheel. In some embodiments, a system computes an indication of a lateral slope of the road surface at the at least one point along the path. In some embodiments, a system outputs, on a vehicle interface bus, an indication of the height of the point and an indication of the lateral slope at the at least one point along the path.

A system for controlling the speed of a vehicle, the system being operable to cause the vehicle to operate in accordance with a value of vehicle set-speed, the system being operable to allow a user to change the current value of vehicle set-speed in discrete steps by means of user input means, a magnitude of the discrete steps being determined by the system in dependence on a vehicle operational state.

Among other things, techniques are described for receiving, from at least one sensor of a vehicle, a sensor measurement indicative of at least one of a sound or a vibration associated with a road element; identifying the road element based on a pattern in the sensor measurement; determining, based on the road element, a vehicle behavior for the vehicle; and controlling the vehicle to operate according to vehicle behavior.