{"repo":"DivitMittal/CARLA-Autonomous-Driving","free":true,"listed":false,"github":"https://github.com/DivitMittal/CARLA-Autonomous-Driving","clone":"git clone https://github.com/DivitMittal/CARLA-Autonomous-Driving.git","description":"Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness","language":"Jupyter Notebook","stars":30,"topics":["autonoumous-driving","carla-simulator","deep-learning","pygame","semantic-segmentation"],"license":"MIT","category":"machine-learning","readme_excerpt":"Autonomous Vehicle(AV) Self Driving System --- - Enhance Perception Systems : Utilize deep learning techniques for semantic segmentation to improve the vehicle's understanding of its surroundings. - Integrate Multi-Modal Sensors : Combine data from RGBA cameras and LiDAR sensors to achieve comprehensive environmental awareness. - Facilitate Research and Development : Provide a modular and extensible codebase that supports the development of novel autonomous driving algorithms. - Ensure Realism and Accuracy : Leverage the high-fidelity simulation capabilities of CARLA to mimic real-world driving conditions and challenges. Features - Realistic Simulation : Leverage the high-fidelity CARLA simulator to create diverse driving scenarios. - Autonomous Driving Algorithms : Implemented state-of-the-art algorithms for perception, planning, and control. - Sensor Integration : Support for various sensors including cameras, LiDAR, radar, and GPS. - Modular Architecture : Easily extend and customize components to fit your research or development needs. - Data Collection : Tools for collecting and analyzing simulation data for training and evaluation. - Visualization : Real-time visualization of vehicle dynamics, sensor data, and decision-making processes. Deep Learning for Semantic Segmentation This project leverages advanced deep learning methodologies to perform semantic segmentation, enhancing the vehicle's perception capabilities by accurately identifying and classifying various eleme","default_branch":null,"files":null,"tree":[],"storefront":"/r/DivitMittal","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DivitMittal/CARLA-Autonomous-Driving/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}