Electronics and Telecommunications Research Institute

Kyoung Hwan An

Jeong Dan Choi

Do Hyun Kim

Kyung Bok Sung

Jungsook Kim

Ju Wan Kim

Jong-Hyun Park

Sung Won Sohn

Byung Tae Jang

Seong Ik Cho

Ki Tae Kim

Kyoung-Wook Min

In Sung Jang

Jinwoo Kim

Moonsoo Lee

Myungwook Park

Woo Yong Han

The interaction system includes: an infrastructure image sensor-based 3D cloud restoration module configured to create a 3D cloud point using a multi-view image received from an infrastructure sensor; a real-time 3D map creation and learning update module configured to generate subset data composed of point clouds into a 3D map using 3D point information received from the infrastructure image sensor-based 3D cloud restoration module; an object estimation module in a 3D space configured to recognize and track an object existing in a 3D space based on the 3D map received from the real-time 3D map creation and learning update module; and a dangerous situation recognition and interaction module in space configured to receive information on an object existing in the 3D space from the object estimation module in the 3D space, recognize a dangerous situation, and provide dangerous situation related information.

Interaction system between infrastructure and multiple moving objects through sensor fusion based intersection 3D space creation and interaction method using the same

Disclosed herein high definition map abnormality inference and corresponding driving method, device and mobility apparatus. The method includes: determining an abnormality of a high definition map applied to a mobility apparatus based on at least one of road information or surrounding object information recognized in driving of the mobility apparatus; determining whether exceptional object information recognized on a road is present; determining a road condition to be a temporary change situation and determining a first driving control process of the mobility apparatus corresponding to the temporary change situation, when the abnormality of the high definition map and exceptional object information are present; and determining the road condition to be a permanent change situation and determining a second driving control process corresponding to the permanent change situation, when the abnormality of the high definition map is present and the exceptional object information is not present.

High definition map abnormality inference and corresponding driving method, device and mobility apparatus

Disclosed are an autonomous vehicle driving system and method that increase probability that a signal of a traffic light will be recognized by using map information built in an autonomous vehicle driving system and a traffic light infrastructure, determine which travel route is allowed according to a camera recognition result and signal information delivered through V2X communication (traveling is allowed from which entrance lane to which exit lane), and enable an autonomous driving vehicle and a traffic light infrastructure to exchange intersection passage route information in order to allow the autonomous driving vehicle to efficiently pass through an intersection.

Autonomous vehicle driving system and method

A method for providing a safety guidance service from a local server to a nomadic device includes gathering information regarding surrounding conditions within a service area on a road, receiving device information from the nomadic device, which enters the service area, determining whether or not the nomadic device is placed in a situation based on the device information, and when it is recognized that the situation has happened, providing safety guidance message suitable to the situation to the nomadic device.

Method and system for providing safety guidance service

A vehicle controller includes a communications unit for performing data communications with local servers; a local path generation unit for generating, in response to an automatic vehicle guidance service request, a local path based on a driving control command and sensing information received from the local servers via the communications unit; a path-following control unit for generating actuator control signals for controlling actuators of a vehicle to drive the vehicle along the local path; and a vehicle driving unit for driving the actuators according to the actuator control signals. Each local server pre-processes and merges sensor data received from the infra-sensor to generate the sensing information. A global server generates the driving control command based on the sensing information and transmits the driving control command to the local servers.

Automatic vehicle guidance system

A system for remotely controlling a vehicle in a service area divided into plural service sectors includes: an infra sensor module installed in each service sector for periodically sensing obstacles and vehicles within the service sector; a vehicle controller mounted in each vehicle for requesting the driving guidance service and automatically controlling the vehicle in accordance with a vehicle control signal; and a local server installed in each service sector for communicating with the vehicle controllers through a driving guidance network based on information on the obstacles and vehicles sensed by the infra sensor module. The system further includes a global server for allocating network resources of the driving guidance network to allow the local server to communicate with the vehicle controllers using the allocated network resources.

System and method for providing driving guidance service to vehicles

A route guide method includes collecting state information of respective points of interest (POIs) and storing the collected state information in a state information database, extracting state information of one or more candidate POIs with reference to the state information database according to a request for the state information of the one or more candidate POIs, and applying the extracted state information of the candidate POIs to routes to the respective POIs to guide a user along the routes to the respective candidate POIs.

Route guide system and method using state information of POI

An automatic driving system includes: a reference driving information database for storing reference driving information including reference driving lines, reference driving speeds, and lane change information; and a navigation apparatus for searching a driving route from a starting point to a destination by using a position value of a vehicle and generating driving route information by reflecting the reference driving information in the searched driving route. The automatic driving system further includes a vehicle controller for determining a driving line and a driving speed by using the generated driving route information and performing unmanned automatic driving along the determined driving line at the determined driving speed.

Navigation apparatus and driving route information providing method using the same and automatic driving system and method

A cell-based vehicle driving control system includes a local server for obtaining road environment information on roads within a cell and target vehicle information on a target vehicle within the cell and generating local waypoints based on the road environment information and the target vehicle information; a global server for monitoring the target vehicle information, the road environment information and local server information on the local server received from the local server; and a vehicle control terminal, mounted in the target vehicle, for receiving the local waypoints from the local server and controlling the target vehicle based on the local waypoints. The road environment information is obtained by using at least one sensor installed on the roads.

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Daejeon, South Korea

Kyoung Hwan An