Enhanced Visual SLAM for Collision-Free Driving with Lightweight Autonomous Cars
The paper presents a vision-based obstacle avoidance strategy for lightweight self-driving cars that can be run on a CPU-only device using a single RGB-D camera. The method consists of two steps: visual perception and path planning. The visual perception part uses ORBSLAM3 enhanced with optical flow...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-09-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/19/6258 |