Systems, methods, and computer-readable media are disclosed for optimized driver seat and pedal positioning using ulna length. An example method may include determining, at a first time and using a sensor of a vehicle, an ulna length of a vehicle user. The example method may also include automatically adjusting a seating position of the vehicle user to a first seating position based on the ulna length of the vehicle user.

A driving force control system for a hybrid vehicle for reducing a required time to launch the hybrid vehicle after selecting a reverse range while maintaining a driving force. The control system is configured to change an engine start threshold to restrict a startup of the engine upon satisfaction of a restricting condition, in which a low mode is established by a transmission mechanism, and a reverse drive range is selected.

In a center server as a control device, a processor is configured to acquire vehicle information on a vehicle, determine a driving skill of a driver from the acquired vehicle information, and notify the driver of permission information for permitting use of a function of the vehicle or application of equipment to the vehicle according to the determined driving skill.

In an aspect, a self-balancing two-wheeled vehicle is provided, having a body, and first and second wheels rotatably coupled to the body. The second wheel has at least one lateral roller rotatable about an axis that is one of oblique and orthogonal to a rotation axis of the second wheel. At least one motor is coupled to the second wheel to control rotation of the second wheel and the at least one lateral roller. At least one sensor is coupled to the body to generate orientation data therefor. A control module is coupled to the at least one motor to control operation thereof at least partially based on the orientation data generated by the at least one sensor.

A vehicle control interface includes a control unit configured to: connect between a vehicle platform including a first computer that performs travel control of a vehicle and an automated-driving platform including a second computer that performs automated-driving control of the vehicle and acquire a first control command containing an instruction for the vehicle platform from the second computer; convert the first control command to a second control command for the first computer; and send the second control command to the first computer. The control unit is configured to send, to the second computer, a specifiable range of a physical quantity that is specified by the second computer via the first control command.

In one embodiment, a driving environment is perceived based on sensor data obtained from a variety of sensors, including determining a current speed of an ADV. In response to a request for driving with an idle speed, a speed guideline is generated based on an idle speed curve in view of the current speed of the ADV. A speed planning operation is performed by optimizing a cost function based on the speed guideline to determine the speeds of the trajectory points at different points in time along a trajectory planned to drive the ADV. One or more control commands are then generated to control the ADV with the planned speeds along the planned trajectory, such that the ADV moves according to an intended idle speed.

A method performed by an electronic device is described. The method includes obtaining sensor data corresponding to multiple occupants from an interior of a vehicle. The method also includes obtaining, by a processor, at least one occupant status for at least one of the occupants based on a first portion of the sensor data. The method further includes identifying, by the processor, at least one vehicle operation in response to the at least one occupant status. The method additionally includes determining, by the processor, based at least on a second portion of the sensor data, whether to perform the at least one vehicle operation. The method also includes performing the at least one vehicle operation in a case that it is determined to perform the at least one vehicle operation.

A proactive pedal algorithm is used to modify an accelerator pedal map to ensure the deceleration when the accelerator pedal is released matches driver expectation. Modifying the accelerator pedal map provides the driver of a vehicle the sensation that the vehicle resists moving when travelling in dense scenes with potentially high deceleration requirements and coasts easily in scenes with low deceleration requirements. The accelerator pedal map is modified based on a scene determination to classify other remote vehicles as in-lane, neighbor-lane, or on-coming.

An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.

A route generation device includes: an autonomous route generator configured to generate, based on surrounding information around an own vehicle detected by a vehicle-mounted detector, an expected autonomous route along which the own vehicle is to travel; a map route acquirer configured to acquire an expected map route along which the own vehicle is to travel based on map data; and an integrated route generator configured to generate an integrated route using the autonomous route and the map route.