In a paper published in Nature, researchers from Tsinghua University introduced a new chip inspired by the human visual system for autonomous vehicles. The chip, called Tianmouc, combines low-accuracy fast event-based detection with more accurate, slower visualization, showcasing improved perception capabilities.
Another research group led by Davide Scaramuzza from the University of Zurich also presented a hybrid approach using camera technology to enhance autonomous systems. These efforts aim to overcome limitations and improve vision systems for diverse real-world applications.
#self-driving-cars #autonomous-vehicles #research-and-development #artificial-intelligence #technology-advancement
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