A vehicle approach notification system includes a filter; a notification sound controller which generates a signal corresponding to a notification sound for notifying of approaching of a vehicle, based on a sound signal obtained from a notification-sound sound source; and a setter which obtains vehicle information of the vehicle, and sets, according to the vehicle information, at least one of the notification-sound sound source to be used in generation of the notification sound, a filter property to be applied to the filter, or a control parameter to be applied to the notification sound controller in generation of the notification sound. The notification sound controller outputs the signal generated, through the filter to an exterior loudspeaker provided to the vehicle.

A system that determines a nominal path based on interpolated lane edge data can include a processor and a memory. The memory includes instructions such that the processor is configured to receive a sensor data representing a perceived lane edge; receive map data including a lane edge; interpolate the sensor data and interpolate the map data; fuse the interpolated sensor data and the interpolated map data; and generate predicted lane edge lane edge centers based on the fused interpolated sensor data.

A method of determining a traveling state of a vehicle, such as passing over a speed bump, occurrence of wheel slip, or traveling on a slope, is determined in real time to prevent degradations in wheel slip control performance and to avoid unnecessarily malfunctions in a traction control system without compromise of wheel slip control performance. The method includes steps of: determining a torque command of a drive unit to apply torque to a drive wheel in accordance with vehicle driving information collected during traveling of the vehicle; determining an acceleration error in accordance with the determined torque command and information regarding a measured longitudinal acceleration of the vehicle measured by a first sensor; determining an acceleration disturbance rate in accordance with the determined torque command; and determining a current traveling state of the vehicle in accordance with the determined acceleration error and the determined acceleration disturbance rate.

The present disclosure concerns a safety system for a vehicle. The vehicle includes a tracking unit and at least one chassis sensor. The safety system may receive sensor data from the at least one chassis sensor and trusted data from the tracking unit, and then may detect an inconsistency between the sensor data and the trusted data. In response to the detection of the inconsistency, the safety system may block at least parts of the sensor data from the at least one chassis sensor.

Dynamic throttle pedal filtering of a vehicle is provided. An automated throttle filtering system may be included in the vehicle that may operate to filter throttle pedal input based on detection of a rough driving surface. The rough driving surface detection may be based on an evaluation of wheel speed signals or an indication of traction loss. The throttle pedal input may be filtered corresponding to rough driving surface magnitude values determined based on the wheel speed signals. For example, filtered torque demand values may be determined based on the rough driving surface magnitude values and included in a torque demand request communicated to the vehicle's powertrain system. The resulting torque output may modulate an undesirable oscillating torque demand that may be generated in relation to operation of the vehicle on a rough driving surface.

A detection method and a device based on a laser radar, and a computer readable storage medium are disclosed. The detection method includes: obtaining scanning data of the laser radar (S101); performing algorithm splitting on a feature algorithm for detection based on the scanning data to obtain at least one sub-algorithm capable of parallel processing in the feature algorithm (S102); and performing heterogeneous acceleration for the at least one sub-algorithm to process the scanning data and to obtain a processing result; and obtaining a detected position of an obstacle and a detected drivable area based on the processing result (S103).

Disclosed are a hybrid vehicle torque adjusting method and device. The method includes: acquiring a requested torque of a front-axle engine and a requested torque of a rear-axle motor, determining a first compensation torque according to the filtered requested torque of the front-axle engine and an actual output torque of a front-axle transmission, and determining a target torque of the rear-axle motor according to the first compensation torque and the requested torque of the rear-axle motor. In the method, since a difference exists between the filtered requested torque of the front-axle engine and the actual output torque of the front-axle transmission during shifting of the front-axle transmission, after the difference is compensated by the rear-axle motor, a working condition that affects a dynamic performance of an entire vehicle can be eliminated, torques can be coordinated, and the dynamic performance of the entire vehicle can be improved.

A calibration pipeline for 6DoF alignment parameters for an autonomous vehicle includes an automated driving controller instructed to receive inertial measurement unit (IMU) poses and final radar poses and determine smoothened IMU poses from the IMU poses and smoothened final radar poses from the final radar poses. The automated driving controller aligns the smoothened IMU poses and the smoothened final radar poses with one another to create a plurality of radar-IMU A, B relative pose pairs. The automated riving controller determines a solution yielding a threshold number of inliers of further filtered radar-IMU A, B relative pose pairs, randomly samples the further filtered radar-IMU A, B relative pose pairs with replacements several times to determine a stream of filtered radar-IMU A, B relative pose pairs, and solves for a solution X for the stream of filtered radar-IMU A, B relative pose pairs.

A method for determining a distance between a camera positioned on a rear portion of a tow vehicle and a trailer coupler supported by a trailer positioned behind the tow vehicle as the tow vehicle approaches the trailer. The method includes identifying the trailer coupler of the trailer within one or more images of a rearward environment of the tow vehicle. The method also includes receiving sensor data from an inertial measurement unit supported by the tow vehicle. The method includes determining a pixel-wise intensity difference between a current received image from the one or more images and a previously received image from the one or more images. The method includes determining the distance based on the identified trailer coupler, the sensor data, and the pixel-wise intensity difference, the distance includes a longitudinal distance, a lateral distance, and a vertical distance.

A system calibrates a function of a tire friction of a vehicle traveling on a road from motion data including a sequence of control inputs to the vehicle that moves the vehicle on the road and a corresponding sequence of measurements of the motion of the vehicle moved by the sequence of control inputs. The system updates iteratively the probability distribution of the tire friction function until a termination condition is met, wherein, for an iteration, the system samples the probability distribution of the tire friction function, determines a state trajectory of the vehicle to fit the sequence measurements according to the measurement model and the sequence of control inputs according to the motion model including the sample of the tire friction function, and updates the probability distribution of the tire friction function based on the state trajectory of the vehicle.