Abstract
Usually we evaluate a certain road detection method from two aspects, the detecting performance and the executing time. Normally there is a compromise between these two criteria. This paper is focused on how to provide a reliable and real-time road detection result for an autonomous vehicle. By using a vanishing point based high reliability detection method for the leading frame and Hough transformation based real-time method for the following frames, we solve the contradiction of the detecting performance and the executing time. In the vanishing point detection, we use Gabor filters to get the texture information of the road and use particle swarm optimization to increase the efficiency.
| Original language | English |
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| Title of host publication | 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1429-1434 |
| Number of pages | 6 |
| ISBN (Print) | 9784907764487 |
| DOIs | |
| Publication status | Published - 2015 Sept 30 |
| Event | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China Duration: 2015 Jul 28 → 2015 Jul 30 |
Other
| Other | 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 15/7/28 → 15/7/30 |
Keywords
- Hough transformation
- multi-frames
- PSO
- Road detection
- vanishing point
ASJC Scopus subject areas
- Control and Systems Engineering