Basilu-Liyanage

Used to test codes..

Basilu-Liyanage

Copyright 2024 Basilu Liyanage Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

Basilu-Liyanage

Description:

The Intelligent Vehicle Navigation system integrates machine learning, artificial intelligence, and sensor fusion techniques to navigate a vehicle without human intervention. It incorporates real-time decision-making, path planning, and obstacle avoidance using sensors like LIDAR, cameras, and ultrasonic sensors. The system uses Python, OpenCV, ROS, and machine learning models to enable autonomous navigation and optimize decision-making in dynamic environments.

Key Features:

Autonomous navigation from point A to B Obstacle detection and avoidance using LIDAR, cameras, and ultrasonic sensors Path planning with algorithms like A* or Dijkstra's Real-time decision-making and environmental analysis