229 citations · 1k across the 84 of their papers we have counts for
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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…
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…
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada, Rohit Mohan, Wolfram Burgard
Learning to reliably perceive and understand the scene is an integral enabler for robots to operate in the real-world. This problem is inherently challenging due to the multitude o…
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…
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…
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…