A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars
The randomness and complexity of urban traffic scenes make it a difficult task for self-driving cars to detect drivable areas. Inspired by human driving behaviors, we propose a novel method of drivable area detection for self-driving cars based on fusing pixel information from a monocular camera wit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-08-01
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| Series: | Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809917302151 |