Abstract
Aim: Some information may be faulty in the primary obstacle map based on a 360 degree lidar; therefore, an improved obstacle detection method based on tentacle algorithm of obstacle avoidance for intelligent vehicle is presented. We believe that this method is much better than existing ones. Section 1 builds a primary obstacle map as shown in Fig. 1. In section 2, we describe the tentacle algorithm and show a group of tentacles as shown in Fig. 2. Section 3 mainly consists of; (1) the definition and calculation of support area and minimum support area; Figs. 3 through 5 are worth noticing; (2) subsection 3. 2 gives the procedure of the improved method. Simulation results are given in Figs. 6 and 7. The results and their analysis show preliminarily that the method is both reliable and effective, thus proving that our method is indeed better.
| Original language | English |
|---|---|
| Pages (from-to) | 763-767 |
| Number of pages | 5 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 30 |
| Issue number | 5 |
| State | Published - Oct 2012 |
Keywords
- Algorithms
- Artificial intelligence
- Collision avoidance
- Computer simulation
- Computer software
- Computer vision
- Mapping
- Reliability
- Schematic diagrams
- Support area
- Tentacle algorithm
- Trajectories
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