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Case Study: Current Landscape of Vision-Centric Perception and its Challenges in Autonomy
The advancement of autonomous vehicles is revolutionizing the transportation industry, but realizing their full potential is still a work in progress. A crucial aspect of autonomous systems is perception, specifically vision-centric perception. This presentation will delve into the current state of vision-centric perception in the context of autonomous systems and identify the challenges that need to be overcome to achieve safe and reliable operation. We will explore how academic research and industrial applications can work together to address these challenges and advance the state of the art.
Head of Machine Learning, Ford
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