TY - GEN
T1 - Interpolation method for sparse point cloud at long distance using sensor fusion with Lidar and camera
AU - Saito, Mai
AU - Shen, Shuncong
AU - Ito, Toshio
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - LiDAR plays an important role for automated driving systems. However, the limitation of LiDAR is sparse point cloud at a long distance. To solve this problem, we propose a point interpolation method, using sensor fusion with LiDAR and camera.
AB - LiDAR plays an important role for automated driving systems. However, the limitation of LiDAR is sparse point cloud at a long distance. To solve this problem, we propose a point interpolation method, using sensor fusion with LiDAR and camera.
KW - Automotive
KW - LiDAR
KW - RGB-D
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=85124250848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124250848&partnerID=8YFLogxK
U2 - 10.1109/ICSJ52620.2021.9648888
DO - 10.1109/ICSJ52620.2021.9648888
M3 - Conference contribution
AN - SCOPUS:85124250848
T3 - 2021 IEEE CPMT Symposium Japan, ICSJ 2021
SP - 116
EP - 117
BT - 2021 IEEE CPMT Symposium Japan, ICSJ 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE CPMT Symposium Japan, ICSJ 2021
Y2 - 10 November 2021 through 12 November 2021
ER -