TY - GEN
T1 - Safety Virtual-Reality Evaluation as a Service for Intelligent Electronic AVs
T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
AU - Hong, Yang
AU - Wu, Jun
AU - Bashir, Ali Kashif
N1 - Funding Information:
This work is sponsored by the National Natural Science Foundation of China (Grant No. U21B2019, 61972255).
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Recently, with the rapid development of intelligent autonomous vehicles (AVs), the safety of AVs become a critical concern for public consumers. Traditional safety evaluations for AVs focus on discovering unsafe cases during testing, however, they still leave several challenges especially in providing a safeguard of AVs acceptable to public consumers. First, existing schemes are unable to provide flexible public safety services for AVs, especially for customized safety services based on the demands of various consumers and traffic scenarios. Second, existing schemes cannot evaluate all traffic scenarios during testing such as future unknown scenarios and the scenarios with the degraded performance of the AVs. To address the aforementioned challenges, we propose a consumer-customized safety evaluation as a service for AVs, CSEaaS, which is a virtual-reality approach to provide scenario-coverable intelligent evaluating for AVs based on edge-cloud cooperation. Specifically, we design customizable safety indicators for AVs to satisfy the safety demands of consumers and construct an intelligent evaluating scheme based on virtual reality to test unknown traffic scenarios under real AV performance during traveling. Simulation results demonstrate the feasibility and effectiveness of CSEaaS. To the best of our knowledge, this is the first work to propose a customized evaluation-as-a-service for AVs.
AB - Recently, with the rapid development of intelligent autonomous vehicles (AVs), the safety of AVs become a critical concern for public consumers. Traditional safety evaluations for AVs focus on discovering unsafe cases during testing, however, they still leave several challenges especially in providing a safeguard of AVs acceptable to public consumers. First, existing schemes are unable to provide flexible public safety services for AVs, especially for customized safety services based on the demands of various consumers and traffic scenarios. Second, existing schemes cannot evaluate all traffic scenarios during testing such as future unknown scenarios and the scenarios with the degraded performance of the AVs. To address the aforementioned challenges, we propose a consumer-customized safety evaluation as a service for AVs, CSEaaS, which is a virtual-reality approach to provide scenario-coverable intelligent evaluating for AVs based on edge-cloud cooperation. Specifically, we design customizable safety indicators for AVs to satisfy the safety demands of consumers and construct an intelligent evaluating scheme based on virtual reality to test unknown traffic scenarios under real AV performance during traveling. Simulation results demonstrate the feasibility and effectiveness of CSEaaS. To the best of our knowledge, this is the first work to propose a customized evaluation-as-a-service for AVs.
KW - Electronic autonomous vehicles
KW - consumer-customized safety
KW - edge-cloud cooperation
KW - scenario-coverable
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85149140376&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149140376&partnerID=8YFLogxK
U2 - 10.1109/ICCE56470.2023.10043478
DO - 10.1109/ICCE56470.2023.10043478
M3 - Conference contribution
AN - SCOPUS:85149140376
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.
Y2 - 6 January 2023 through 8 January 2023
ER -