activity
20182026
most citedPADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention

45 citations · 323 across the 70 of their papers we have counts for

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Showing 2018 · cs.ROShow all

5 papers · 2 filters

cs.RO2018

Vision-based Autonomous Landing in Catastrophe-Struck Environments

Mayank Mittal, Abhinav Valada, Wolfram Burgard

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natur…

cs.RO2018

Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing

Noha Radwan, Wolfram Burgard, Abhinav Valada

For mobile robots navigating on sidewalks, it is essential to be able to safely cross street intersections. Most existing approaches rely on the recognition of the traffic light si…

cs.RO2018

Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification

Abhinav Valada, Wolfram Burgard

Terrain classification is a critical component of any autonomous mobile robot system operating in unknown real-world environments. Over the years, several proprioceptive terrain cl…

cs.RO2018

VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

Noha Radwan, Abhinav Valada, Wolfram Burgard

Semantic understanding and localization are fundamental enablers of robot autonomy that have for the most part been tackled as disjoint problems. While deep learning has enabled re…

cs.RO2018

Deep Auxiliary Learning for Visual Localization and Odometry

Abhinav Valada, Noha Radwan, Wolfram Burgard

Localization is an indispensable component of a robot's autonomy stack that enables it to determine where it is in the environment, essentially making it a precursor for any action…