200 citations · 345 across the 16 of their papers we have counts for
4 papers · 1 filter
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning
Markus Wulfmeier, Dushyant Rao, Ingmar Posner
Recent advances have shown the capability of Fully Convolutional Neural Networks (FCN) to model cost functions for motion planning in the context of learning driving preferences pu…
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
Julie Dequaire, Dushyant Rao, Peter Ondruska +2
This paper presents an end-to-end approach for tracking static and dynamic objects for an autonomous vehicle driving through crowded urban environments. Unlike traditional approach…
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang +2
This paper proposes a computationally efficient approach to detecting objects natively in 3D point clouds using convolutional neural networks (CNNs). In particular, this is achieve…
Resource-Performance Trade-off Analysis for Mobile Robot Design
Morteza Lahijanian, Maria Svorenova, Akshay A. Morye +6
The design of mobile autonomous robots is challenging due to the limited on-board resources such as processing power and energy. A promising approach is to generate intelligent sch…