Current Result Document :
| 한글제목(Korean Title) |
최적경로 예측을 위한 포인트 클라우드 기반 차선검출 |
| 영문제목(English Title) |
Point Cloud based Lane Detection for Optimal Local Path Planning |
| 저자(Author) |
최승진
정민구
김도훈
박상현
Seung-Jin Choi
Min-Gu Jeong
Do-Hun Kim
Sang-Hyun Park
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| 원문수록처(Citation) |
VOL 45 NO. 01 PP. 2048 ~ 2050 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Recently, LiDAR sensor data have been important in the field of autonomous driving. It can extract relatively accurate information about the shape or location of an object in 3D space compared to a camera data. The navigation system can navigate the global path based on GPS, but not the local path. We can apply LiDAR sensor data for optimal local path planning. We need to detect 3D object and also conduct lane detection to analyze traffic conditions on the entire road. Many studies have been conducted on 3D object detection including Voxel RCNN [1], Point Pillars [2], etc. And, the lane detection is also important. In this paper, we propose an algorithm for lane detection on highway condition for optimal local path planning. |
| 키워드(Keyword) |
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| 파일첨부 |
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