4 citations · 4 across the 2 of their papers we have counts for
5 papers
MRFMap: Online Probabilistic 3D Mapping using Forward Ray Sensor Models
Kumar Shaurya Shankar, Nathan Michael
Traditional dense volumetric representations for robotic mapping make simplifying assumptions about sensor noise characteristics due to computational constraints. We present a fram…
RaD-VIO: Rangefinder-aided Downward Visual-Inertial Odometry
Bo Fu, Kumar Shaurya Shankar, Nathan Michael
State-of-the-art forward facing monocular visual-inertial odometry algorithms are often brittle in practice, especially whilst dealing with initialisation and motion in directions…
Fast Monte-Carlo Localization on Aerial Vehicles using Approximate Continuous Belief Representations
Aditya Dhawale, Kumar Shaurya Shankar, Nathan Michael
Size, weight, and power constrained platforms impose constraints on computational resources that introduce unique challenges in implementing localization algorithms. We present a f…
Vision and Learning for Deliberative Monocular Cluttered Flight
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng +6
Cameras provide a rich source of information while being passive, cheap and lightweight for small and medium Unmanned Aerial Vehicles (UAVs). In this work we present the first impl…
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar +4
Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairly straight-forward, as expensive sensors and monitoring devices can be employed. In contrast, obstacle avoid…