6 citations · 13 across the 14 of their papers we have counts for
4 papers · 1 filter
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization
Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3
Most 6-DoF localization and SLAM systems use static landmarks but ignore dynamic objects because they cannot be usefully incorporated into a typical pipeline. Where dynamic objects…
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems
Stephen Hausler, Ming Xu, Sourav Garg +4
6-DoF visual localization systems utilize principled approaches rooted in 3D geometry to perform accurate camera pose estimation of images to a map. Current techniques use hierarch…
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic, Yifeng Lin, Shubham Shrivastava +2
Uncertainty pervades through the modern robotic autonomy stack, with nearly every component (e.g., sensors, detection, classification, tracking, behavior prediction) producing cont…
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava
Training robots to navigate diverse environments is a challenging problem as it involves the confluence of several different perception tasks such as mapping and localization, foll…