Abstract
Road-lane recognition is one of the key technologies utilized in the Intelligent Transport System (ITS), a sophisticated road traffic information system in Japan. In this paper, we will take a general view of road-lane recognition methods that use image processing with reference to the recognition frames of capturing, conversion, classification and interpretation. While these recognition methods employ a bottom-up processing approach, we believe a top-down processing approach based on prior knowledge of the recognition target will play a more important role in the future. One of the purposes of road-lane recognition in Rear-end Collision Avoidance System (RCAS) is to determine whether the vehicle in front is in the same lane or not. As a solution to that question, we will introduce a network type fusion method, which divides a recognition process into modules connected in a network and then uses the changes of state obtained in mutual tests to determine the vehicle's position relative to the road lane.
| Original language | English |
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| Pages | 177-182 |
| Number of pages | 6 |
| Publication status | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE Intelligent Vehicles Symposium - Tokyo, Jpn Duration: 1996 Sept 19 → 1996 Sept 20 |
Other
| Other | Proceedings of the 1996 IEEE Intelligent Vehicles Symposium |
|---|---|
| City | Tokyo, Jpn |
| Period | 96/9/19 → 96/9/20 |
ASJC Scopus subject areas
- Modelling and Simulation
- Automotive Engineering
- Computer Science Applications