Cooperative Perception of Road-Side Unit and Onboard Equipment with Edge Artificial Intelligence for Driving Assistance
| 项目名称： | Cooperative Perception of Road-Side Unit and Onboard Equipment with Edge Artificial Intelligence for Driving Assistance |
| 摘要： | Environment perception and understanding remains to a challenge for (Advanced Driver Assistance Systems) ADAS. Specifically, precise 3-D detection of vehicles and pedestrians, and understanding road users’ intentions, are needed for roadway traffic decision making and parking assistance. Multiple challenges can be solved by fusing the real-time data of on-board sensors and road-side units instead of solely relying on onboard sensing technologies. The objective of this project is to develop a cooperative perception system that fuses data from on-board and road-side units. Considering the limited computational and storage resources on the edge-side, edge-device-based artificial intelligence algorithms will be developed and employed for enhancing the efficiency of the proposed methods without losing accuracy. |
| 状态： | Active |
| 资金： | 195000 |
| 资助组织： | University of Washington, Seattle<==>Office of the Assistant Secretary for Research and Technology |
| 执行机构： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)<==>University of Washington, Seattle |
| 开始时间： | 20200301 |
| 预计完成日期： | 20210228 |
| 主题领域： | Data and Information Technology；Highways；Vehicles and Equipment |
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