Disclosed herein is a technique for generating and providing an indication to an autonomous vehicle regarding the confidence level for the accuracy or quality of the map data in which the indication is determined from observation data received from other vehicles.

A driving control method and apparatus are provided. The method may be applied to the intelligent vehicle field such as intelligent driving/automatic driving. The driving control method includes, after calculating a conventional path in a conventional map, the driving control apparatus searches a high-definition map for a high-definition path that matches the conventional path, and if yes, performs real-time navigation broadcast by using the conventional path, and performs automatic driving by using the found high-definition path. The driving control method and apparatus use advantages of the conventional map, for example, rich road sections and updated real-time traffic information, a more proper calculated conventional path, and a better effect of real-time navigation broadcast, and implement automatic vehicle driving by using a high-definition path, to reduce user operations, thereby improving user experience.

The present invention provides a vehicle control device and a control method therefor. A vehicle control device according to one embodiment of the present invention comprises: an interface unit communicatively connected to a display unit provided in a vehicle; and a processor for controlling the display unit provided in the vehicle through the interface unit, wherein the processor receives destination information through the interface unit, acquires, from map information, spatial coordinates of a building corresponding to the destination information, and controls, on the basis of the spatial coordinates of the building corresponding to the destination information, the display unit so that a graphic object related to the destination information overlaps with the building and is displayed.

A route generation device includes: an autonomous route generator configured to generate, based on surrounding information around an own vehicle detected by a vehicle-mounted detector, an expected autonomous route along which the own vehicle is to travel; a map route acquirer configured to acquire an expected map route along which the own vehicle is to travel based on map data; and an integrated route generator configured to generate an integrated route using the autonomous route and the map route.

A vehicle control system (500) controls a vehicle whereon a plurality of ECUs (30) and a vehicle integrated control device (10) to control the plurality of ECUs (30) are mounted. The vehicle integrated control device (10) includes a control target value operation unit to calculate a control target value to control the plurality of ECUs (30). Further, the vehicle integrated control device (10) includes a prediction control value operation unit to estimate a state of the vehicle in the future, and to calculate a prediction control value to control the plurality of ECUs (30). The vehicle integrated control device (10) includes an instruction signal generation unit to generate an instruction signal including an operation instruction and a prediction control instruction. Each of the plurality of ECUs (30) includes an actuator control unit to control an actuator (50) based on the prediction control instruction.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. Example embodiments disclosed herein provide enhanced high-precision operation of an AV in low-speed environments, such as a toll booth facility or heavy traffic. One example method disclosed herein includes a control computer identifying a starting point of the toll booth facility on the roadway and a plurality of toll lanes associated with the toll booth facility; selecting a particular toll lane; determining a trajectory for the AV that extends through the particular toll lane; and in response to the autonomous vehicle arriving at the starting point for the toll booth facility, transmitting, over a subsystem interface to one or more drive subsystems of the AV, instructions configured to cause the drive subsystems to operate together to cause the AV to travel according to the trajectory.

Provided are systems and methods for controlling a vehicle based on a map that designed using a factor graph. Because the map is designed using a factor graph, positions of the road can be modified in real-time while operating the vehicle. In one example, the method may include storing a map which is associated with a factor graph of variable nodes representing a plurality of constraints that define positions of lane lines in a road and factor nodes between the variable nodes on the factor graph which define positioning constraints amongst the variable nodes, receiving an indication from the road using a sensor of a vehicle, updating positions of the variable nodes based on the indication and an estimated location of the vehicle within the map, and issue commands capable of controlling a steering operation of the vehicle based on the updated positions of the factor nodes.

A vehicle control system includes a detector and a processor. The detector is configured to detect a first stop line on the basis of map data stored in a road map database, and detect a second stop line on the basis of traveling environment data acquired by a camera unit. In a case where the detector detects the first stop line, the processor is configured to control a vehicle to decelerate at a first deceleration rate calculated on the basis of a distance from the vehicle to the first stop line. In a case where the detector detects the second stop line after detecting the first stop line, the processor is configured to control the vehicle to decelerate at a second deceleration rate calculated on the basis of a distance from the vehicle to the second stop line and stop at the second stop line.

A delivery vehicle includes: a main body portion equipped with a moving mechanism; and a control section provided at the main body portion, wherein the control section includes: an autonomous driving executing section that controls the moving mechanism and makes it possible for the main body portion to travel autonomously; a destination information acquiring section that acquires information relating to a delivery destination or a collection destination of a package; a data transmitting section transmitting predetermined data for authentication to a management system that manages a secure area on a delivery path; and a data acquiring section that, in a case in which the data for authentication is authenticated by the management system, acquires area information including map information of the secure area from the management system.

A vehicle trajectory prediction device is provided. The vehicle trajectory prediction device includes a transceiver, at least one processor, and at least one memory operatively connected with the at least one processor to store at least one instruction causing the at least one processor to perform operations. The operations receive first trajectory data for an ego-vehicle and second trajectory data for at least one neighbor-vehicle, obtain a first feature vector from a first extractor and obtain a second feature vector from a second extractor, obtain an interdependency feature vector between the ego-vehicle and the at least one neighbor-vehicle from a third extractor having mapping data generated by mapping the second feature vector to the second trajectory data as input data, and generate predicted trajectory data of the ego-vehicle from a trajectory generator having the first feature vector and the interdependency feature vector as input data.