Cole Gulino
Cole Gulino
Waymo Perception
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Spatially-aware graph neural networks for relational behavior forecasting from sensor data
S Casas, C Gulino, R Liao, R Urtasun
arXiv preprint arXiv:1910.08233, 2019
42*2019
Implicit latent variable model for scene-consistent motion forecasting
S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun
Proceedings of the European Conference on Computer Vision (ECCV), 2020
172020
Generalizing informed sampling for asymptotically-optimal sampling-based kinodynamic planning via markov chain monte carlo
D Yi, R Thakker, C Gulino, O Salzman, S Srinivasa
2018 IEEE International Conference on Robotics and Automation (ICRA), 7063-7070, 2018
112018
The importance of prior knowledge in precise multimodal prediction
S Casas, C Gulino, S Suo, R Urtasun
arXiv preprint arXiv:2006.02636, 2020
92020
Imitative planning using conditional normalizing flow
S Agarwal, H Sikchi, C Gulino, E Wilkinson
arXiv preprint arXiv:2007.16162, 2020
32020
Association and Tracking for Autonomous Devices
S Gautam, BC Becker, C Vallespi-Gonzalez, CC Gulino
US Patent App. 16/562,938, 2021
2021
Systems and Methods for Generating Motion Forecast Data for Actors with Respect to an Autonomous Vehicle and Training a Machine Learned Model for the Same
R Urtasun, R Liao, S Casas, CC Gulino
US Patent App. 16/816,671, 2021
2021
Providing Actionable Uncertainties in Autonomous Vehicles
CC Gulino, AR Ansari
US Patent App. 16/043,759, 2020
2020
SingleQuery Planners for Nonholonomic Systems
C Gulino, R Thakker, F Naina, BS Hanzra
Robot Autonomy
N Baheti, J Gandhi, C Gulino, K Ritter
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