Autonomous Vehicle Navigation
Academic Project
Project Description
In this project, we developed control algorithms for a model of an autonomously navigating vehicle. The focus was on environmental perception using sensors and subsequent path planning. Algorithms for obstacle detection and avoidance were implemented, and the vehicle's behavior was simulated and tested in various scenarios. This project provided deep insights into robotics, sensor data processing, and control engineering.
Technologies Used:
- Programming (Python, C++)
- Matlab/Simulink for simulation
- Sensor data processing (e.g., LiDAR, camera)
- Path planning algorithms (e.g., A*, Dijkstra)