Sai-Chakradhar-Mahendrakar/Obstacle-Avoidance-in-Autonomous-Vehicles
Obstacle-Avoidance-in-Autonomous-vechicles
This project helps autonomous vehicles, robots, and drones safely navigate their environments by detecting obstacles. It takes in real-time sensor data, like images and LiDAR scans, and outputs information about detected objects to help the system avoid collisions. This is for engineers and developers working on self-driving cars, industrial robots, or automated logistics systems.
No commits in the last 6 months.
Use this if you are developing an autonomous system that needs to detect and avoid obstacles in real-time using sensor data.
Not ideal if you need a general-purpose object detection model for static image analysis rather than real-time autonomous navigation.
Stars
8
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 03, 2024
Commits (30d)
0
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