TY - GEN
T1 - Combination of computer vision detection and segmentation for autonomous driving
AU - Tseng, Yu Ho
AU - Jan, Shau Shiun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/5
Y1 - 2018/6/5
N2 - Most existing deep learning networks for computer vision attempt to improve the performance of either semantic segmentation or object detection. This study develops a unified network architecture that uses both semantic segmentation and object detection to detect people, cars, and roads simultaneously. To achieve this goal, we create an environment in the Unity engine as our dataset. We train our proposed unified network that combines segmentation and detection approaches with the simulation dataset. The proposed network can perform end-to-end prediction and performs well on the tested dataset. The proposed approach is also efficient, processing each image in about 30 ms on an NVIDIA GTX 1070.
AB - Most existing deep learning networks for computer vision attempt to improve the performance of either semantic segmentation or object detection. This study develops a unified network architecture that uses both semantic segmentation and object detection to detect people, cars, and roads simultaneously. To achieve this goal, we create an environment in the Unity engine as our dataset. We train our proposed unified network that combines segmentation and detection approaches with the simulation dataset. The proposed network can perform end-to-end prediction and performs well on the tested dataset. The proposed approach is also efficient, processing each image in about 30 ms on an NVIDIA GTX 1070.
UR - https://www.scopus.com/pages/publications/85048881118
UR - https://www.scopus.com/inward/citedby.url?scp=85048881118&partnerID=8YFLogxK
U2 - 10.1109/PLANS.2018.8373485
DO - 10.1109/PLANS.2018.8373485
M3 - Conference contribution
AN - SCOPUS:85048881118
T3 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
SP - 1047
EP - 1052
BT - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018
Y2 - 23 April 2018 through 26 April 2018
ER -