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July 23, 2024, 3:45 a.m.
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Toyota and Stanford's New Self-Driving Cars Master Controlled Drifts

Scientists from the Toyota Research Institute and Stanford University have developed self-driving cars that can perform controlled drifts, pushing the boundaries of autonomous driving. In a daring stunt at the Thunderhill Raceway Park in California, the autonomous vehicles drifted in tandem with just a few feet separating them. The project aims to improve future driver-assistance systems and potentially tackle larger challenges in automated driving.

By combining mathematical models, machine learning, and physical sensors, the researchers have showcased the potential for autonomous cars to operate at extreme conditions, including snowy or icy roads. While AI has made significant progress, navigating the unpredictable physical world is a separate and complex challenge.



Brief news summary

Scientists from the Toyota Research Institute and Stanford University have made a breakthrough in autonomous driving by developing self-driving cars that can perform controlled drifts. By testing their algorithms and techniques at Thunderhill Raceway Park in California, the team aimed to replicate the skills of expert human drivers when a vehicle loses control. The project utilized modified GR Supra sports cars equipped with sensors, computers, and advanced algorithms to teach the cars how to drift. This demonstration signifies a significant advancement in high-speed autonomy and has the potential to enhance safety in extreme driving conditions. Although AI has made remarkable progress in language models, mastering the physical world presents a greater challenge. Progress in autonomous driving is crucial for ensuring safety, as errors and hallucinations in AI can lead to catastrophic consequences.
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