6 citations · 31 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
Localization of a Smart Infrastructure Fisheye Camera in a Prior Map for Autonomous Vehicles
Subodh Mishra, Armin Parchami, Enrique Corona +4
This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside th…
Infrastructure Node-based Vehicle Localization for Autonomous Driving
Elijah S. Lee, Ankit Vora, Armin Parchami +3
Vehicle localization is essential for autonomous vehicle (AV) navigation and Advanced Driver Assistance Systems (ADAS). Accurate vehicle localization is often achieved via expensiv…
Full-Velocity Radar Returns by Radar-Camera Fusion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
A distinctive feature of Doppler radar is the measurement of velocity in the radial direction for radar points. However, the missing tangential velocity component hampers object ve…
Radar-Camera Pixel Depth Association for Depth Completion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
While radar and video data can be readily fused at the detection level, fusing them at the pixel level is potentially more beneficial. This is also more challenging in part due to…
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani +3
We describe a light-weight, weather and lighting invariant, Semantic Bird's Eye View (S-BEV) signature for vision-based vehicle re-localization. A topological map of S-BEV signatur…