A computing system can receive, in a vehicle, moving object information is determined by processing lidar sensor data acquired by a stationary lidar sensor. The moving object information can be determined using typicality and eccentricity data analysis (TEDA) on the lidar sensor data. The vehicle can be operated based on the moving object information.

The present invention provides a control method for automatic holding, a vehicle's brake system and a brake control module thereof. The vehicle's brake system comprises two brake control modules and electromechanical brakes controlled by the brake control modules, a drive motor and a drive motor controller for controlling the drive motor. The control method comprises: after the vehicle transitions from moving to stationary, controlling the electromechanical brakes to continuously provide a brake torque, wherein the brake torque is a sum of the effective brake torque and a margin brake torque; and continuously outputting a drive-off signal to the drive motor controller to control the drive motor not to provide drive torque; until a driver requested drive torque is continuously increased to a critical torque which is close to the effective brake torque.

A method includes an initial trailer health assessment and real-time trailer health monitoring. The initial trailer health assessment includes autonomous pre-trip maneuvers of the autonomous vehicle during a first time period, and detecting a pre-trip vehicle health condition. A vehicle health score is calculated based on the pre-trip vehicle health condition. If the vehicle health score is at least a threshold value, real-time trailer health monitoring is performed during a trip of the autonomous vehicle during a second time period, by actively monitoring vehicle dynamics data and/or image data associated with the autonomous vehicle, to determine a fault condition of the autonomous vehicle. If the fault condition meets a first criteria, a control parameter and/or a travel plan of the autonomous vehicle is adjusted. If the fault condition meets a second criteria different from the first criteria, a signal is sent to cause the autonomous vehicle to cease movement.

The present disclosure relates to a method for determining a user-specific configuration of a braking device of a motor vehicle, the method including detecting measurement data using a detector and providing a data record to an evaluation circuitry. Based on the measurement data and data record, a user-specific braking profile is determined. Furthermore, a selected braking profile that has the greatest degree of conformity with the user-specific braking profile is identified from a plurality of braking profiles. A corresponding configuration associated with the selected braking profile is identified as the suitable user-specific configuration. A changeover operation is triggered in order to provide the user-specific configuration in the motor vehicle.

The present disclosure may relate to a method capable of monitoring a tire pressure, and may include estimating a tire necessary air pressure based on a location and an external temperature of a vehicle, determining whether a change in a current applied to an in-wheel motor is included in a preset range, when the vehicle is driving at a uniform speed during a preset time, calculating weights according to a plurality of conditions, respectively, and calculating a tire pressure based on the weights.

A method detects unintended acceleration of a motor vehicle during a closed-loop speed control mode by determining external forces on the vehicle via a controller, and then calculating a desired acceleration using a measured vehicle speed and the external forces. The method includes determining an actual acceleration of the vehicle, including filtering a speed signal as a first actual acceleration value and/or measuring a second actual acceleration value using an inertial measurement unit (IMU). During the speed control mode, the method includes calculating an acceleration delta value as a difference between the desired acceleration and the actual acceleration, and then using the acceleration delta value to detect the unintended acceleration during the speed control mode. A powertrain system for the motor vehicle, e.g., an electric vehicle, includes the controller and one or more torque generating devices coupled to road wheels of the vehicle.

Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.

A method and system may present indications of driver performance metrics on a user interface of a client device based on vehicle data for a user collected over a time interval. The driver performance metrics may include scores for each of several telemetry factors, such as braking, speeding, acceleration, and maneuvers. The user interface may also include indications of levels of safe driving behavior and corresponding driver performance metric ranges for reaching such levels. The indications of the driver performance metrics for the user may be placed in respective positions within the driver performance metric ranges. When the user reaches one of the levels of safe driving behavior based on the driver performance metrics, the user may be provided with a benefit corresponding to the level.

A method of communication monitoring. The method may include receiving wireless communication signal strengths measured in different areas from one or more communication devices disposed onboard a first system moving through the different areas or stationary communication devices at wayside locations in the different areas. The method may include receiving locations where the wireless communication signal strengths were measured. The method may then include determining a spatial distribution of the wireless communication signal strengths based on values of the wireless communication signal strengths that were measured and the locations where the wireless communication signal strengths were measured. The method may include changing operation of a second system based on the spatial distribution that may be determined.

A vehicle includes a computer including a processor and a memory storing instructions executable by the processor to identify a vehicle being in an autonomous drive mode. The computer includes instructions to detect a user request to change the drive mode from the autonomous drive mode to a manual drive mode. The computer includes instructions to move the brake pedal from the stowed position to the deployed position in response to the response to the user request to change the drive mode. The computer includes instructions to prompt a user to validate the brake pedal being in the deployed position. The computer includes instructions to change from the autonomous drive mode to the manual drive mode in response to the user validating deployment of the brake pedal.