carla and carla-training-data
Project B is a complement to Project A, as it provides a method for generating training data in a standard format (KITTI) directly from the Carla simulator, which is essential for developing and testing autonomous driving algorithms.
About carla
carla-simulator/carla
Open-source simulator for autonomous driving research.
This simulator helps autonomous driving researchers and developers test and validate their self-driving systems in a realistic virtual environment. You feed in your autonomous driving algorithms and sensor configurations, and it produces simulated driving scenarios, sensor data, and vehicle behavior. It's designed for engineers developing the software for self-driving cars, trucks, or robots.
About carla-training-data
enginBozkurt/carla-training-data
Generating training data from the Carla driving simulator in the KITTI dataset format
This tool helps autonomous vehicle researchers and developers create synthetic training data for self-driving models. It takes simulated driving scenarios from the CARLA simulator and converts them into the standardized KITTI dataset format, which includes synchronized grayscale and color stereo images, Velodyne point clouds, GPS/IMU data, calibration information, and 3D object labels. This allows teams to expand their datasets without extensive real-world data collection.
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