A computer includes a processor and a memory storing instructions executable by the processor to determine at least one of a vehicle pitch or a longitudinal center of gravity from data measured while deactivating a first brake for a first axle and applying a second brake for a second axle, and operate the vehicle based on the at least one of vehicle pitch or longitudinal center of gravity. The instructions may further include to determine a vehicle weight from the data, and operate the vehicle based on the vehicle weight.

A vehicle includes a display device, a radar sensor having a detection region perpendicular to a vehicle longitudinal axis, a radar analyzer connected to the radar sensor, and a camera having a switchable field of view for covering an angular range behind the vehicle direction between a narrower angular range and a wider angular range. The display device is configured to display an image from the camera, at the narrower range, responsive to a sensor sensing vehicle movement in a direction included in a field of view of the camera, and the display device is configured to display an image from the camera at the wider range, responsive to the radar sensor detecting an object moving towards the vehicle. The vehicle may also be configured to automatically stop responsive to certain characteristics of objects detected by the radar sensor.

A driving control method may include performing a road surface adaptability control in which when an uneven road surface of a road on which a vehicle is driven is recognized by a controller, a wheel torque control of the vehicle is performed so that a squat effect and a dive effect are generated in the vehicle passing through the uneven road surface.

Systems and methods for operating an automated vehicle such as an autonomous vehicle may include an autonomous guidance system, a method of automatically controlling and autonomous vehicle based on electronic messages from roadside infrastructure or other-vehicles, a method of automatically controlling an autonomous vehicle based on cellular telephone location information, pulsed LED vehicle-to-vehicle (V2V) communication system, a method and apparatus for controlling an autonomous vehicle, an autonomous vehicle with unobtrusive sensors, and adaptive cruise control integrated with a lane keeping assist system. The systems and methods may use information from radar, lidar, a camera or vision/image devices, ultrasonic sensors, and digital map data to determine a route or roadway position and provide for steering, braking, and acceleration control of a host vehicle.

An autonomous or semi-autonomous vehicle may improve the overall safety of other vehicles by determining an action of a proximate vehicle based on sensor data and determining one or more expected visual cues associated with the determined action. One or more images of the proximate vehicle may then be used to detect a difference between expected visual cues and the captured images. Detected differences may be used to notify one or more entities that can then take corrective actions.

A system for estimating a trajectory of a vehicle includes vehicle state sensors detecting a state of movement of the vehicle and environment sensors monitoring an environment of the vehicle. A free space module determines a free space corridor based on the detected state of movement of the vehicle and the monitored environment of the vehicle. A goal point determination module determines at least one goal point for the trajectory to be estimated based on the free space corridor. A trajectory planning module estimates a reference trajectory based on the at least one goal point and calculates a deviation between an actual trajectory and the reference trajectory of the vehicle. A trajectory control module minimizes the deviation between the actual trajectory and the reference trajectory of the vehicle and outputs optimal control parameters for the movement of the vehicle based on the minimized deviation.

The vehicle moving control apparatus executes a following moving control to execute a target acceleration setting process and a following acceleration/deceleration process. The vehicle moving control apparatus corrects a target acceleration set by the target acceleration setting process to increase when the following moving control is executed, the target acceleration larger than zero is set by the target acceleration setting process, and an acceleration of an own vehicle is smaller than a predetermined threshold. The vehicle moving control apparatus stops the following acceleration/deceleration process and starts the steering avoidance control when a steering avoidance condition becomes satisfied as the following moving control is executed. The vehicle moving control apparatus limits the target acceleration to a value smaller than or equal to a predetermined acceleration when the steering avoidance control is stopped, and the following acceleration/deceleration process is restarted.

A movable system includes a movable platform that includes a motorized drive to cause the movable platform to move in position, and a compartment located in an interior part of the movable platform; and an LIDAR system mounted to the movable platform including a probe fiber laser module located on the movable platform and producing pulsed probe laser light and scan the pulsed probe laser light out for optically sensing presence of one or more objects in the surrounding area based on detection of reflected probe laser light from the one or more objects. The probe fiber laser module includes a base laser module located inside the enclosure of the compartment and remote laser modules distributed at the platform instrument holding portions to scan the pulsed probe laser light out for optically sensing presence of one or more objects in the surrounding area.

Embodiments of the disclosure provide systems and methods for updating an HD map. The system may include a communication interface configured to receive sensor data acquired of a target region by at least one sensor equipped on a vehicle as the vehicle travels along a trajectory via a network. The system may further include a storage configured to store the HD map. The system may also include at least one processor. The at least one processor may be configured to identify a plurality of data frames associated with a landmark, each data frame corresponding to one of a plurality of local HD map on the trajectory. The at least one processor may be further configured to jointly optimize pose information of the plurality of local HD maps and pose information of the landmark. The at least one processor may be further configured to construct the HD map based on the based on the pose information of the plurality of local HD maps.

A vehicle safety support apparatus includes: a driver monitoring unit configured to monitor a driver; an external environment monitoring unit configured to monitor an external environment of a vehicle; and a control unit configured to: perform a controlled lane keeping function based on data acquired from the driver monitoring unit and the external environment monitoring unit; detecting whether a driver reacts to the controlled lane keeping function; determine a driving control for the vehicle in response to the driver not reacting to the controlled lane keeping function; perform autonomous driving to move the vehicle to a safe area, in response to determining to take over the driving control from the driver.