A vehicle event detection system is disclosed, including an event detection module in operable communication with a vehicle computing system. The event detection module is in operable communication with one or more vehicle and body framework sensors to detect an impact, one or more accelerometers, one or more gyroscopes, and an airbag deployment module. A control module receives an output signal from the event detection module if an event occurs, the control module to transmit an output signal to a marking device to deploy a marker at a location of the event.

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a prime mover (8) and of at least one vehicle component influencing energy efficiency of a motor vehicle. The MPC algorithm (13) includes a longitudinal dynamic model (14) of the drive train (7) and of the vehicle component influencing the energy efficiency of the motor vehicle (1) as well as a cost function (15) to be minimized. The cost function (15) includes at least one first term. The processor unit (3) is configured for determining a particular input variable for the prime mover (8) and for the at least one vehicle component influencing the energy efficiency of the motor vehicle (1) by executing the MPC algorithm (13) as a function of a particular term such that the cost function (15) is minimized.

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a prime mover (8) and of at least one vehicle component influencing energy efficiency of a motor vehicle. The MPC algorithm (13) includes a longitudinal dynamic model (14) of the drive train (7) and of the vehicle component influencing the energy efficiency of the motor vehicle (1) as well as a cost function (15) to be minimized. The cost function (15) includes at least one first term. The processor unit (3) is configured for determining a particular input variable for the prime mover (8) and for the at least one vehicle component influencing the energy efficiency of the motor vehicle (1) by executing the MPC algorithm (13) as a function of a particular term such that the cost function (15) is minimized.

The present invention relates to the technical field of device calibration, and in particular to an ADAS system calibration guiding method and apparatus, and a vehicle diagnosis device. The method comprises: after a calibration request from a user for an ADAS system of a vehicle is received, prompting the user to select a maintenance scenario for calibrating the ADAS system; according to the maintenance scenario selected by the user, determining the ADAS system to be calibrated in the maintenance scenario, and giving a prompt regarding a calibration tool required for calibrating the ADAS system to be calibrated; giving a prompt regarding a positioning method for the calibration tool: after an indication of the user that the positioning of the calibration tool is completed is received, instructing the vehicle to calibrate the ADAS system to be calibrated; and acquiring a calibration result of the ADAS system to be calibrated, and outputting a calibration analysis report according to the calibration result. According to the method, the apparatus, and the vehicle diagnosis device provided by the embodiments of the present invention, the user can easily and efficiently complete the calibration of the ADAS system within a short time, thereby improving the efficiency and the convenience of the calibration of the ADAS system.

The present invention relates to the technical field of device calibration, and in particular to an ADAS system calibration guiding method and apparatus, and a vehicle diagnosis device. The method comprises: after a calibration request from a user for an ADAS system of a vehicle is received, prompting the user to select a maintenance scenario for calibrating the ADAS system; according to the maintenance scenario selected by the user, determining the ADAS system to be calibrated in the maintenance scenario, and giving a prompt regarding a calibration tool required for calibrating the ADAS system to be calibrated; giving a prompt regarding a positioning method for the calibration tool: after an indication of the user that the positioning of the calibration tool is completed is received, instructing the vehicle to calibrate the ADAS system to be calibrated; and acquiring a calibration result of the ADAS system to be calibrated, and outputting a calibration analysis report according to the calibration result. According to the method, the apparatus, and the vehicle diagnosis device provided by the embodiments of the present invention, the user can easily and efficiently complete the calibration of the ADAS system within a short time, thereby improving the efficiency and the convenience of the calibration of the ADAS system.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

An assessment system for performance evaluation and updating of a PMUD of an ego-vehicle. The assessment system obtains world view data from a perception module configured to generate the world view data based on sensor data obtained from vehicle-mounted sensors; obtains other world view data generated by another perception module; forms a joint world view by matching the world view data the other world view data; and obtains perception data based on a perception model and sensor data obtained from one or more vehicle-mounted sensors. The assessment system further matches the perception data to the formed joint world view; evaluates the obtained perception data in reference to the joint world view to determine an estimation deviation in an identified match between the perceptive parameter of the perception data and a corresponding perceptive parameter in the joint world view; and updates parameters of the perception model based on the estimation deviation.

An assessment system for performance evaluation and updating of a PMUD of an ego-vehicle. The assessment system obtains world view data from a perception module configured to generate the world view data based on sensor data obtained from vehicle-mounted sensors; obtains other world view data generated by another perception module; forms a joint world view by matching the world view data the other world view data; and obtains perception data based on a perception model and sensor data obtained from one or more vehicle-mounted sensors. The assessment system further matches the perception data to the formed joint world view; evaluates the obtained perception data in reference to the joint world view to determine an estimation deviation in an identified match between the perceptive parameter of the perception data and a corresponding perceptive parameter in the joint world view; and updates parameters of the perception model based on the estimation deviation.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a motor vehicle that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a highway, including as part of a convoy.