The present teaching relates to method, system, medium, and implementation of in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data are acquired continuously via a plurality of types of sensors deployed on the vehicle, where the plurality of types of sensor data provide information about surrounding of the vehicle. One or more items surrounding the vehicle are tracked, based on some models, from a first of the plurality of types of sensor data from a first type of the plurality of types of sensors. A second of the plurality of types of sensor data are obtained from a second type of the plurality of sensors and are used to generate validation base data. Some of the one or more items are labeled, automatically, via validation base data to generate labeled at least some item, which is to be used to generate model updated information for updating the at least one model.

A driving assistance device includes a guide line detecting unit configured to detect the guide line, a remaining distance acquiring unit configured to acquire a remaining distance to the scheduled stop position, and a braking control unit configured to control deceleration of a vehicle. The guide line detecting unit detects a base-point mark, a curvature of the guide line, and a curvature feature point. The remaining distance acquiring unit acquires the remaining distance on the basis of the position of the base-point mark when the guide line detecting unit has detected the base-point mark, and acquires the remaining distance on the basis of the position of the curvature feature point when the guide line detecting unit has not detect the base-point mark and has detected the curvature feature point.

An information processing device executes a DNN computation by a neural network including a plurality of layers. The information processing device executes a computation process corresponding to a given layer in the neural network, on a first area and on a second area different from the first area, the first and second areas being included in a feature map inputted to the neural network. The information processing device synthesizes a result of the computation process on the first area and a result of the computation process on the second area, and outputs the synthesized computation process results, as a result of the computation process on the feature map.

A vehicle energy management system connectable to a vehicle and configured to control a valve arrangement to deliver a flow of pressurized air to a heat receiving structure when the vehicle is operated in a vehicle braking mode and a temperature level of the heat receiving structure is below a maximum limit of a predetermined temperature range.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine a ride height at a portion of the vehicle, which may be used to determine roll data and/or pitch data. The ride height, roll data, and/or pitch data may be directly used to navigate through an environment, such as by the vehicle relying on the data when interpreting sensor data or planning driving operations. Also, the ride height, roll data, and/or pitch data may be used to verify the reliability of other sensor data used to navigate through the environment.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine a ride height at a portion of the vehicle, which may be used to determine roll data and/or pitch data. The ride height, roll data, and/or pitch data may be directly used to navigate through an environment, such as by the vehicle relying on the data when interpreting sensor data or planning driving operations. Also, the ride height, roll data, and/or pitch data may be used to verify the reliability of other sensor data used to navigate through the environment.

An information processing apparatus according to an embodiment of the present technology includes a first acquisition unit, a second acquisition unit, and a generation unit. The first acquisition unit acquires peripheral information regarding a periphery of a first mobile object. The second acquisition unit acquires, from an apparatus different from the first mobile object, attribute information regarding an attribute of a second mobile object present in the periphery of the first mobile object. The generation unit generates learning data for extracting an attribute of a target mobile object, on the basis of the acquired peripheral information and the acquired attribute information.

A method for improving the ride comfort of a transportation vehicle including planning a first driving route by a navigation system; automatically detecting at least one road parameter of the first driving route by a sensor system of the transportation vehicle; automatically evaluating the first driving route in view of the ride comfort of the first driving route by taking into account the road parameter; and in response thereto using the first driving route or planning an alternative driving route.

A method for improving the ride comfort of a transportation vehicle including planning a first driving route by a navigation system; automatically detecting at least one road parameter of the first driving route by a sensor system of the transportation vehicle; automatically evaluating the first driving route in view of the ride comfort of the first driving route by taking into account the road parameter; and in response thereto using the first driving route or planning an alternative driving route.

A vehicle control device includes at least one electronic control unit configured to recognize at least one object, calculate a time to collision, operate first driving assistance, when the time to collision is equal to or less than a first threshold value, operate second driving assistance for avoiding the collision between the at least one object and the host vehicle or reducing damage of the collision, when the time to collision is equal to or less than a second threshold value smaller than the first threshold value, and set, while the first driving assistance is operated, the second threshold value to a second setting value smaller than a first setting value set when the first driving assistance is not operated, when a second target object causing the second driving assistance to operate is the same object as a first target object causing the first driving assistance to operate.