The BlockchainSports Drift project has reached another critical stage in its development — the testing of the Computer Vision system has begun, along with the first flights of a drone designed to analyze what’s happening on the track during races.
The Computer Vision system is being developed to enable the neural network to analyze the drivers’ actions, their trajectories, and the cars’ behavior on the track. During testing, drivers traveled to various racetracks so that the neural network could learn in diverse conditions. This helps it not only track car movement but also adapt to different locations and scenes, making the system more versatile.
A drone equipped with a high-tech camera was launched to capture and analyze what’s happening on the track from the air. These aerial shots provide a new perspective that complements the data collected by ground sensors and cameras. This will enhance the accuracy of the analysis and further detail the neural network’s learning process.
The testing of the Computer Vision function and drone is a significant step toward creating a more advanced drift analysis system. The next phase will involve further optimization of algorithms and their integration with the XR simulator and autonomous car. The BlockchainSports Drift team continues to work on making the future of drifting technology a reality.
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