Provided herein is a vehicle control device that includes a recognition unit that recognizes a surrounding status of a vehicle and a driving control unit that controls a speed and/or a steering of the vehicle. The driving control unit performs switching to a second driving state in which a driver has a higher degree of a monitoring obligation than in a first driving state. The vehicle control device further includes a map updating unit that updates intrinsic map information on the basis of the recognition result and when switching from the first driving state to the second driving state is performed by the driving control unit.

Systems and methods are directed to a method for assured autonomous vehicle compute processing. The method can include providing sensor data to first and second functional circuitry of an autonomy computing system. The first and second functional circuitry can be configured to generate first and second outputs associated with a first autonomous compute function. The method can include generating, by the first and second functional circuitry in response to the sensor data, first and second output data associated with the first autonomous compute function. The method can include generating, by monitoring circuitry of the autonomy computing system, comparative data associated with differences between the first output data and the second output data. The method can include generating one or more vehicle control signals for the autonomous vehicle based at least in part on the comparative data.

A processor of a vehicle determines whether remote assistance from a remote facility is necessary during autonomous driving control. When determination is made that the remote assistance is necessary, the processor generates a target trajectory of the vehicle that includes an expected waiting position. The expected waiting position is a position where the vehicle is expected to wait for reception of an assistance signal from the remote facility. The processor calculates a traveling efficiency level indicating a level of traveling efficiency required in the vehicle, and calculates, based on the traveling efficiency level, a request timing to transmit a request signal for the remote assistance to the remote facility. When the traveling efficiency level is low in calculation of the request timing, the processor outputs a late timing.

A method and a device for operating an automated vehicle, including: determining a position of the automated vehicle, detecting at least one surroundings feature in the surroundings of the automated vehicle, reading in a planning map depending on the position of the automated vehicle, the planning map being configured for determining a first driving function for operating the automated vehicle, determining a validity of the planning map depending on the position of the automated vehicle depending on the at least one surroundings feature, and operating the automated vehicle depending on the validity of the planning map.

An example system includes a vehicle having a prime mover motively coupled to a drive line; a motor/generator selectively coupled to the drive line, and configured to selectively modulate power transfer between an electrical load and the drive line; a battery pack; a DC/DC converter electrically interposed between the motor/generator and the electrical load, and between the battery pack and the electrical load, the DC/DC converter comprising a DC/DC converter housing; and a covering tray positioned over a plurality of batteries of the battery pack, the covering tray comprising a connectivity layer configured to provide electrical connectivity to terminals of the plurality of batteries.

The present application discloses a method for controlling cruise of a vehicle. The method includes: acquiring a pre-established three-dimensional trajectory map of the vehicle from a starting point to a destination; acquiring current positioning information of the vehicle; intercepting a target trajectory at a preset distance currently ahead of the vehicle from the three-dimensional trajectory map according to the current positioning information; acquiring a target point from the target trajectory according to the current positioning information; acquiring a wheelbase and a current speed of the vehicle, and calculating an angle that front wheels of the vehicle are required to rotate, according to the target point, the current positioning information, the wheelbase, and the current speed; controlling a movement of the vehicle according to the angle.

An automated lane change system for a motor vehicle includes one or more environmental sensors for generating an input signal indicative of a position of an object relative to the motor vehicle, with the object being disposed at a distance from the motor vehicle. The input signal is further indicative of a velocity of the object relative to the motor vehicle. The system further includes a steering wheel sensor generating a gripped signal, in response to a driver gripping a steering wheel. A controller generates an activation signal, in response to the controller receiving the input signal from the environmental sensor and the gripped signal from the steering wheel sensor. An actuator controls the steering wheel, a propulsion mechanism, and a braking mechanism for maneuvering the motor vehicle from a current driving lane to a target driving lane, in response to the actuator receiving the activation signal from the controller.

An information processing method, an electronic device, and a storage medium are provided, which are related to the fields of big data, cloud computing, automatic driving, and the like. The specific implementation includes: receiving a data acquisition task and an acquisition strategy issued by a cloud; analyzing the acquisition strategy to obtain priority information of the acquired data for the data acquisition task; and taking the priority information as an importance degree identifier corresponding to the acquired data, and performing preferential transmission after data acquisition and data screening according to the importance degree identifier.

A vehicle includes an automated driving assistance system that controls maneuvering of the vehicle under certain conditions. When the vehicle comes to a stop, the driving assistance system dynamically selects a threshold stop time corresponding to a duration of time that the vehicle can remain stopped before the driving assistance system will either detect a physical action from the user to resume automated driving assistance or time out and cease the driving assistance.

System, methods, and other embodiments described herein relate to improving identification of a path for an ego vehicle on a roadway. In one embodiment, a method includes, in response to acquiring sensor data from at least one sensor of the ego vehicle about a surrounding environment, identifying roadway elements from the sensor data as cues about the path. The roadway elements include one or more of lane markers of the roadway and surrounding vehicles. The method includes grouping the roadway elements into two or more groups according to characteristics of roadway elements indicating common curvatures. The method includes analyzing the two or more groups according to a confidence heuristic to determine a priority group from the two or more groups that corresponds with a trajectory of the ego vehicle. The method includes providing an identifier for the priority group to facilitate at least path planning for the ego vehicle.