Search Results for author: Andrew Hartnett

Found 3 papers, 3 papers with code

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

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.

3D Object Detection Motion Forecasting +1

312

Paper
Code

What-If Motion Prediction for Autonomous Driving

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).

Autonomous Driving counterfactual +1

119

Paper
Code

Argoverse: 3D Tracking and Forecasting with Rich Maps

3 code implementations • CVPR 2019 • Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays

In our baseline experiments, we illustrate how detailed map information such as lane direction, driveable area, and ground height improves the accuracy of 3D object tracking and motion forecasting.

3D Object Tracking Autonomous Vehicles +3

839

Paper
Code

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