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Learn MoreThe project is concerned with delivering a real-world joint perception prediction and tracking system that outperforms the current system implemented in the Uber ATG software stack. This will be achieved by implementing a production version of a state-of-the-art academic paper developed by the research team, testing it against real world scenarios, and then modifying the neural network, inputs, architecture, and operations to obtain better within system results.
Murat Erdogdu
Zhen Gou
Uber Advanced Technologies Group
Computer science
University of Toronto
Accelerate
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