A method and a system for providing a personal transportation service using an autonomous vehicle, including: receiving a request for the personal transportation service from a terminal of a user; analyzing a call pattern of the user for the autonomous vehicle; and determining a recommended autonomous vehicle to provide the personal transportation service to the user based on the analysis result of the call pattern are provided.

A vehicle includes a radar mounted to have a front field of view and a lateral field of view of the vehicle and configured to detect an object and acquire object data; a sensor configured to detect a movement of the vehicle and acquire motion data based on the movement of the vehicle; and a controller comprising a processor configured to process the object data and the motion data.

An apparatus for controlling a direction and speed of travel an autonomous vehicle or driver assisted autonomous vehicle (AV). A GPS and map module receive a start location and a destination location for the AV. A plurality of sensors identify a current and a proposed lane for the AV. A database of AV baseline maneuver profiles used to control one or more of direction and speed of travel of the AV is provided. A trajectory profile generator module generates a planned path for the AV with lateral acceleration less than 2 Hz, based on the start location, the destination location, the current and proposed lane for the AV, and a selected AV baseline maneuver profile from the database. A steering control module controls the direction of travel of the AV based on the generated AV planned path, and a supervisory control module controls the speed of the AV based on the generated AV planned path and inner ear constraints.

The disclosure relates to method and system for generating trajectory plan for autonomous ground vehicles (AGV). The method includes assessing an upcoming goal position for an AGV with respect to a current position of the AGV to establish a need for preparing a trajectory plan for a critical segment of the path. The method further includes determining, upon establishing the need, a next free road region based on a hint next rest pose along the critical segment, generating a trajectory sub-plan corresponding to the next free road region by iteratively determining a set of intermediate poses between the current rest pose and the hint next rest pose, and generating the trajectory plan for the critical segment of the path by iteratively generating the trajectory sub-plans between the current rest pose and the final goal pose.

A backup control unit for controlling motion of a heavy-duty vehicle during a minimum risk maneuver, where the backup control unit is arranged to receive data indicative of a planned sequence of vehicle control commands from a main vehicle control unit. The backup control unit comprises a first vehicle model configured to map the planned sequence of vehicle control commands into a desired vehicle behavior and is arranged to obtain a measured vehicle behavior from one or more vehicle sensors. Also, the back-up control unit is arranged to determine an adjusted sequence of vehicle control commands based on the planned sequence of vehicle control commands and on a deviation between the desired vehicle behavior and the measured vehicle behavior, and to transmit the adjusted sequence of vehicle control commands to a motion support device, MSD, control unit of the vehicle.

To realize an apparatus and a method for receiving a recognition level of an own vehicle from another vehicle and/or an infrastructure facility and performing control to improve a recognition level. A recognition level of the own vehicle calculated by another vehicle or the infrastructure facility is received, and control for improvement of a recognition level of the own vehicle is executed in accordance with the received recognition level. As the control for improvement of a recognition level of the own vehicle, any process is executed among: (a) a process of reducing a traveling speed or stopping; (b) a process of turning on a light; and (c) a process of changing transmission information from the own vehicle. As the process of changing transmission information, a process of adding, to the transmission information, vehicle location information, vehicle speed information, vehicle size information, or reference marker position information is executed.

Disclosed is an apparatus and method for estimating a road profile for a vehicle. The apparatus includes a camera, processors, and a controller. The processors are configured to obtain a state of the vehicle including a behavior of the vehicle, and obtain a road height from information provided by the camera. The controller is configured to estimate the road profile by changing coordinates of the camera according to the behavior of the vehicle based on a vehicle height, compensating for the road height and a recognition road distance, and matching and filtering multiple road heights.

Provided is a vehicle control device capable of accurately estimating a self-vehicle location with a yaw angle error occurring when a vehicle starts to travel due to an initial phase shift between pulsed waveforms of left and right wheels when the vehicle starts to travel suppressed. The vehicle control device further estimates a direction of wheel rotation while the vehicle is at a stop. A yaw angle deviation when the vehicle starts to travel is estimated and corrected on the basis of a weighted average of discrete yaw angle values obtained immediately after the vehicle starts to travel from wheel speed sensors installed on left and right non-steered wheels of the vehicle. A yaw angle while the vehicle is at a stop and a yaw angle when the vehicle starts to travel are also estimated, and the direction of wheel rotation while the vehicle is at a stop is also estimated from a difference between the yaw angles. The yaw angle and coordinates are corrected on the basis of the estimation result.

Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.

A remote driver support method according to the present disclosure includes: acquiring vehicle dimension information related to a dimension of a vehicle that is remotely driven by a remote driver, and acquiring road structure information related to a structure of a road ahead to which the vehicle is heading. The remote driver support method according to the present disclosure further includes: generating passability information related to a possibility that the vehicle is able to pass through the road ahead based on the vehicle dimension information and the road structure information; and notifying the remote driver of the passability information.