This project focuses on developing a semi-autonomous driving system that enhances safety and driving comfort. The system aims to assist drivers with functions like adaptive cruise control, lane-keeping, and automatic parking.

Key Features #

• Adaptive Cruise Control: Automatically adjusts vehicle speed to maintain safe following distances.
• Lane Keeping Assist: Ensures the vehicle stays within lane markings using cameras and sensors.
• Automated Parking System: Helps drivers park efficiently in tight spaces.

Technologies Used #

• Python and C++ for AI programming and integration.
• OpenCV for real-time image processing and lane detection.
• LiDAR and Radar sensors for accurate object detection.

Achievements #

• Successfully integrated an object detection system that reacts to obstacles in under 0.5 seconds.
• Achieved a 90% success rate in autonomous parallel parking tests.