TY - GEN
T1 - Lidar for automated driving era
AU - Ito, Toshio
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Because of its high spatial resolution and ability to create high-resolution environmental maps that radar can't, the use of LiDAR for highly automated driving has been resurrected. This paper shows how LiDAR has been treated so far, and introduce the principle of LiDAR and the possibility of solving latency problems that were inferior to radar in the future.
AB - Because of its high spatial resolution and ability to create high-resolution environmental maps that radar can't, the use of LiDAR for highly automated driving has been resurrected. This paper shows how LiDAR has been treated so far, and introduce the principle of LiDAR and the possibility of solving latency problems that were inferior to radar in the future.
KW - Automated driving
KW - FMCWS
KW - LiDAR
KW - Slow light
UR - http://www.scopus.com/inward/record.url?scp=85124192148&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124192148&partnerID=8YFLogxK
U2 - 10.1109/ICSJ52620.2021.9648873
DO - 10.1109/ICSJ52620.2021.9648873
M3 - Conference contribution
AN - SCOPUS:85124192148
T3 - 2021 IEEE CPMT Symposium Japan, ICSJ 2021
SP - 37
EP - 40
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 -