TY - GEN
T1 - High-Accuracy Lane Geodetic Coordinates Extraction Based on Camera-Lidar Fusion
AU - Peng, Cheng Wei
AU - Hsu, Chen Chien
AU - Wang, Wei Yen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - For various transportation demands, map application has become indispensable in people's lives. In map applications, map data affects the navigation engine to resolve the optimum travel time and provides the road geometry information of the surrounding environment for users. Therefore, high accuracy with frequent update map data is desired. This work presents a workflow to extract the accurate lane geodetic coordinates automatically. According to the experiment results, the proposed approach shows that lane lines can be extracted and secured with sub-meter accuracy by integrating commercial-grade cameras and non-survey-grade Lidar. Thus, the cost-effective structure for automatic map creation is firmed. It will further benefit geodetic object extraction usage.
AB - For various transportation demands, map application has become indispensable in people's lives. In map applications, map data affects the navigation engine to resolve the optimum travel time and provides the road geometry information of the surrounding environment for users. Therefore, high accuracy with frequent update map data is desired. This work presents a workflow to extract the accurate lane geodetic coordinates automatically. According to the experiment results, the proposed approach shows that lane lines can be extracted and secured with sub-meter accuracy by integrating commercial-grade cameras and non-survey-grade Lidar. Thus, the cost-effective structure for automatic map creation is firmed. It will further benefit geodetic object extraction usage.
KW - Convolutional Neural Network
KW - Geographical Information System
KW - Map
KW - Mobile Mapping System
UR - http://www.scopus.com/inward/record.url?scp=85149149645&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149149645&partnerID=8YFLogxK
U2 - 10.1109/ICCE56470.2023.10043557
DO - 10.1109/ICCE56470.2023.10043557
M3 - Conference contribution
AN - SCOPUS:85149149645
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Y2 - 6 January 2023 through 8 January 2023
ER -