carla-dataset Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Vehicles Navigation: The "Carla traffic dataset" can be used to develop and improve algorithms for autonomous vehicles, enabling them to effectively identify other road users, traffic lights, and various traffic signs, improving the cars’ ability to navigate safely in different weather conditions including fog.

2. Traffic Management Systems: The dataset could be leveraged to create advanced traffic management systems, identifying car, bike, or pedestrian movement, detecting traffic light states, and understanding if road users respect speed limits (30, 60, 90 km/h signs). This could improve urban traffic flow and increase overall road safety.

3. Driver Assistance Systems: The dataset could be used to develop advanced driver assistance systems (ADAS) that could alert drivers of pedestrians, other vehicles, traffic signs, and the status of traffic lights, particularly in foggy or difficult conditions.

4. Safety Testing for Vehicle Manufacturers: Companies manufacturing cars, bikes, or motorbikes could use the data to carry out safety testing under different situations, including different weather conditions and traffic light changes.

5. Virtual Driving Simulation: Game developers or driving schools could use this model to develop realistic driving simulations. The players or trainee drivers would need to respond correctly and promptly to real-world traffic situations like recognizing speed signs, traffic lights, and other road users.