Hyundai Motor Company

Kia Corporation

Kookmin University

Center of Human-centered Interaction for Coexistence

Yeon Sik Kang

Se Jong Heo

Kyung Jae Ahn

Bum Jae You

Nak Ju Doh

Yun Jung Kim

Ju Yeon Cho

Soo Hyun Ryu

Du Hyeon Cho

An embodiment collision avoidance control method with an autonomous driving control system includes generating a grid map by storing vehicle information including position and velocity vectors of a vehicle and object information including position and velocity vectors of an object sensed around the vehicle in a grid cell corresponding to an area occupied by the vehicle and the object and determining, as a collision risk area, an area where a grid cell occupied by the vehicle for each reference time set based on the vehicle information overlaps a grid cell occupied by the object for each reference time predicted based on the object information, to control avoidance of the collision risk area.

Autonomous driving control system and collision avoidance control method therewith

An embodiment method for classifying objects around a vehicle includes generating a dynamic occupancy grid map including a plurality of cells including point data corresponding to each of a plurality of objects located around the vehicle and velocity vector information of the point data, based on LiDAR data received from a LiDAR sensor of the vehicle and information related to movement of the vehicle, determining a cluster corresponding to each of the plurality of objects on the dynamic occupancy grid map using a clustering technique, and classifying an object corresponding to the cluster into a static object or a dynamic object, based on a region size of the cluster and velocity vector information included in cells belonging to the cluster.

Method and system for classifying objects around vehicle

The present invention provides a method for planning a path for an autonomous walking humanoid robot that takes an autonomous walking step using environment map information, the method comprising: an initialization step of initializing path input information of the autonomous walking humanoid robot using origin information, destination information, and the environment map information; an input information conversion step of forming a virtual robot including information on the virtual robot obtained by considering the radius and the radius of gyration of the autonomous walking humanoid robot based on the initialized path input information; a path generation step of generating a path of the virtual robot using the virtual robot information, the origin information S, the destination information G, and the environment map information; and an output information conversion step of converting the path of the autonomous walking humanoid robot based on the virtual robot path generated in the path generation step.

Method for planning path for autonomous walking humanoid robot

Growing community of inventors

Seoul, South Korea

Yeon Sik Kang