ANVRIT-The Intelligent Ground Vehicle

The Intelligent Ground Vehicle Competition (IGVC) challenges student teams to develop autonomous vehicles capable of navigating complex outdoor courses, focusing on tasks such as path following, obstacle detection, avoidance, and GPS navigation. This event advances technology and education in autonomous systems, offering hands-on experience in designing, constructing, and programming intelligent robots. Teams utilize a comprehensive tech stack: Raspberry Pi for sensor data acquisition and initial processing, NVIDIA Jetson for high-performance tasks like real-time image processing and deep learning, and Arduino for precise hardware control. Python is used for developing algorithms and integrating subsystems, while ROS manages communication between software modules and hardware components. Machine learning techniques improve decision-making, OpenCV handles real-time image processing, Gazebo provides a robust simulation environment for testing algorithms, and SLAM enables accurate mapping and localization in real-time.