Abstract
In recent years, as demands for the vehicle safety and autonomous driving of the automobile industry have increased, it becomes important to more accurately recognize the position and velocity of surrounding vehicles. In this paper, heuristic fusion with adaptive gating and track to track fusion are applied to track fusion of camera and radar sensor for forward vehicle tracking system and the two algorithms are compared. To compare the two algorithms, simulation was carried out in 10 scenarios and the accuracy of sensor fusion results was measured with optimal subpattern assignment (OSPA) metric. The results of this metric are compared to show that the track to track fusion is superior to the adaptive gating for the target estimation.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 1075-1077 |
| Number of pages | 3 |
| Volume | 2017-October |
| ISBN (Electronic) | 9788993215137 |
| DOIs | |
| Publication status | Published - 2017 Dec 13 |
| Event | 17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of Duration: 2017 Oct 18 → 2017 Oct 21 |
Other
| Other | 17th International Conference on Control, Automation and Systems, ICCAS 2017 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 17/10/18 → 17/10/21 |
Keywords
- Adaptive gating
- Data association
- Sensor Fusion
- Track to track fusion
- Vehicle tracking
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering