A driving support system includes: an information acquisition unit configured to acquire traveling characteristic information on a vehicle; a storage unit in which a dynamic map is stored, the dynamic map being a map in which static base map information, dynamic environmental information, and the traveling characteristic information acquired by the information acquisition unit are associated with each other; a collision determination unit configured to determine whether or not there is a possibility that the vehicle has a collision, based on the dynamic map stored in the storage unit; and a control unit configured to, in a case where the collision determination unit determines that there is a possibility that the vehicle has a collision, control the vehicle such that the vehicle avoids the collision.

A processor of a route provision apparatus according to an embodiment of the present invention is characterized in outputting map information received from a server, on a rollable display provided in a vehicle, determining a change in the size of a display area of the rollable display, and requesting the server for map information to be displayed on the changed display area, on the basis of the changed size of the display area, and receiving the map information.

A speed sensor for measuring a speed of an object moving relative to the speed sensor, including: a speed sensor housing for providing sliding and/or frictional and/or positively locking insertion into a fixed receptacle, wherein the speed sensor housing houses an injection molded part which is made of plastic and into which at least part of a speed sensor element is injected; wherein the injection molded part has at least one outer recess, on its outer circumferential surface facing an inner face of a wall of the speed sensor housing, wherein an empty outer chamber is formed between each boundary surface of an outer recess and the inner face of the wall of the speed sensor housing, and/or wherein at least one inner recess, which forms an empty inner chamber, is formed inside the injection molded part. Also described are a related driver assistance system and a motor vehicle.

A speed sensor for measuring a speed of an object moving relative to the speed sensor, including: a speed sensor housing for providing sliding and/or frictional and/or positively locking insertion into a fixed receptacle, wherein the speed sensor housing houses an injection molded part which is made of plastic and into which at least part of a speed sensor element is injected; wherein the injection molded part has at least one outer recess, on its outer circumferential surface facing an inner face of a wall of the speed sensor housing, wherein an empty outer chamber is formed between each boundary surface of an outer recess and the inner face of the wall of the speed sensor housing, and/or wherein at least one inner recess, which forms an empty inner chamber, is formed inside the injection molded part. Also described are a related driver assistance system and a motor vehicle.

A driving support apparatus includes a surrounding information acquisition device which acquires surrounding information, a steering information acquisition device which acquires steering information, a control unit which executes driving support control including at least one of pre-right/left-turn deceleration assist control or pre-right/left-turn warning control when a predetermined first execution condition is satisfied. When a precondition which is satisfied in a case in which an intersection is detected based on the surrounding information and steering operation is being performed by a driver based on the steering information is satisfied, the control unit determines whether or not the first execution condition is satisfied based on the steering operation being performed and traveling lane arrow information which is road arrow information of a traveling lane or adjacent lane arrow information which is road arrow information of an adjacent lane, both of which being stored in a storage device.

A vehicle driving support apparatus includes a forward environment recognizing device configured to recognize a traveling environment forward of a vehicle, a control device configured to perform adaptive cruise control and active lane keep centering control based on the recognized traveling environment, an electric power steering device configured to control a turning angle of wheels in a ganged manner in accordance with a steering angle received from a steering handle, and a driver monitoring system configured to detect changes in biological information of a driver who drives the vehicle. When the driver monitoring system detects a drop in alertness of the driver, the control device is configured to perform the adaptive cruise control and the active lane keep centering control and execute a steering handle idle mode that stops the electric power steering device from controlling the turning angle in the ganged manner in accordance with the steering angle.

A vehicle driving support apparatus includes a forward environment recognizing device configured to recognize a traveling environment forward of a vehicle, a control device configured to perform adaptive cruise control and active lane keep centering control based on the recognized traveling environment, an electric power steering device configured to control a turning angle of wheels in a ganged manner in accordance with a steering angle received from a steering handle, and a driver monitoring system configured to detect changes in biological information of a driver who drives the vehicle. When the driver monitoring system detects a drop in alertness of the driver, the control device is configured to perform the adaptive cruise control and the active lane keep centering control and execute a steering handle idle mode that stops the electric power steering device from controlling the turning angle in the ganged manner in accordance with the steering angle.

The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.

The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.

A system for regulating the speed of a vehicle includes defining a first border for a first geographic region. The border has a first speed within the border and a second speed outside of the border. The system includes determining a first velocity of the vehicle including a vehicle speed and direction of the vehicle approaching the border. The difference between the vehicle speed and the second speed is the calculated, as is a distance between the vehicle and the border. If the difference between the vehicle speed and the second speed divided by the distance is greater than a predetermined value, the vehicle is decelerated at a rate so that the vehicle will have a second speed when the vehicle reaches the border.