Structure-From-Motion in 3D Space Using 2D Lidars.
This paper presents a novel structure-from-motion methodology using 2D lidars (Light Detection And Ranging). In 3D space, 2D lidars do not provide sufficient information for pose estimation. For this reason, additional sensors have been used along with the lidar measurement. In this paper, we use a sensor system that consists of only 2D lidars, without any additional sensors. We propose a new method of estimating both the 6D pose of the system and the surrounding 3D structures. We compute the pose of the system using line segments of scan data and their corresponding planes. After discarding the outliers, both the pose and the 3D structures are refined via nonlinear optimization. Experiments with both synthetic and real data show the accuracy and robustness of the proposed method.
Robotics and Computer Vision Lab, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea. dgchoi@rcv.kaist.ac.kr.
Dong-Geol
DG
Choi
Broadcasting Media Research Lab, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea. ysbok@etri.re.kr.
Yunsu
Y
Bok
Center for Robotics Research, Korea Institute of Science and Technology, Seoul 02792, Korea. junsik.kim@kist.re.kr.
Jun-Sik
JS
Kim
Robotics and Computer Vision Lab, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea. iwshim@rcv.kaist.ac.kr.
Inwook
I
Shim
Robotics and Computer Vision Lab, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea. iskweon@kaist.ac.kr.
In So
IS
Kweon
2D lidar; pose estimation; structure-from-motion