Perception Task Offloading With Collaborative Computation for Autonomous Driving
Hunan University · University of Exeter · +3 more institutions
Abstract
Autonomous driving has so far received numerous attention from academia and industry. However, the inevitable occlusion is a great menace to safety and reliable driving. Existing works have primarily focused on improving the perception ability of a single autonomous vehicle (AV), but the safety problem brought by occlusions remains unanswered. In this paper, we propose a multi-tier perception task offloading framework with a collaborative computing approach, where an AV is able to achieve a comprehensive perception of the concerned region-of-interest (RoI) by leveraging collaborative computation with nearby AVs and road side units (RSUs). Besides, the collaborative computation provides offloading service for…
Citation impact
- FWCI
- 18.43
- Percentile
- 100%
- References
- 52
Authors
6Topics & keywords
- Computer science
- Perception
- Task (project management)
- Human–computer interaction
- Computation
- Computation offloading
- Embedded system
- Edge computing
Funding
- NSNational Science FoundationAwards: CNS-2128368, CNS-2107216, CMMI-2222810
- NNNational Natural Science Foundation of ChinaAwards: U20A20181, 62271452, 62272152
- NSNatural Science Foundation of Hunan ProvinceAward: 2022JJ30171
- KRKey Research and Development Program of Hunan Province of ChinaAward: 2022GK2020
- SSShenzhen Science and Technology Innovation ProgramAward: JCYJ20220530160408019
- BABasic and Applied Basic Research Foundation of Guangdong Province