1 code implementation • Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 2021 • Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
Models are tasked with the prediction of future motion for "scored actors" in each scenario and are provided with track histories that capture object location, heading, velocity, and category.
1 code implementation • 24 Aug 2020 • Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, Deva Ramanan
Forecasting the long-term future motion of road actors is a core challenge to the deployment of safe autonomous vehicles (AVs).
1 code implementation • ICLR 2020 • William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan
In this paper, we combine the best of both worlds with a modular approach that learns a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.