TY - GEN
T1 - Recognizing outdoor scenes by convolutional features of omni-directional LiDAR scans
AU - Nakashima, Kazuto
AU - Nham, Seungwoo
AU - Jung, Hojung
AU - Iwashita, Yumi
AU - Kurazume, Ryo
AU - Mozos, Oscar M.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - We present a novel method for the outdoor scene categorization using 2D convolutional neural networks (CNNs) which take panoramic depth images obtained by a 3D laser scanner as input. We evaluate our approach in two outdoor scene datasets including six categories: coast, forest, indoor parking, outdoor parking, residential area, and urban area. Our results on both datasets (over 94%) outperform previous approaches and show the effectiveness of this approach for outdoor scene categorization using depth images. To analyze our trained networks we visualize the learned features by using two visualization methods.
AB - We present a novel method for the outdoor scene categorization using 2D convolutional neural networks (CNNs) which take panoramic depth images obtained by a 3D laser scanner as input. We evaluate our approach in two outdoor scene datasets including six categories: coast, forest, indoor parking, outdoor parking, residential area, and urban area. Our results on both datasets (over 94%) outperform previous approaches and show the effectiveness of this approach for outdoor scene categorization using depth images. To analyze our trained networks we visualize the learned features by using two visualization methods.
UR - http://www.scopus.com/inward/record.url?scp=85050869408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050869408&partnerID=8YFLogxK
U2 - 10.1109/SII.2017.8279243
DO - 10.1109/SII.2017.8279243
M3 - Conference contribution
AN - SCOPUS:85050869408
VL - 2018-January
T3 - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
SP - 387
EP - 392
BT - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE/SICE International Symposium on System Integration, SII 2017
Y2 - 11 December 2017 through 14 December 2017
ER -