7 citations · 8 across the 4 of their papers we have counts for
5 papers
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
Sai Shubodh Puligilla, Mohammad Omama, Husain Zaidi +2
Global visual localization in LiDAR-maps, crucial for autonomous driving applications, remains largely unexplored due to the challenging issue of bridging the cross-modal heterogen…
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
Sarthak Sharma, Unnikrishnan R. Nair, Udit Singh Parihar +2
Autonomous driving requires efficient reasoning about the location and appearance of the different agents in the scene, which aids in downstream tasks such as object detection, obj…
Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous Driving
Unnikrishnan R Nair, Sarthak Sharma, Udit Singh Parihar +2
We present the first prize solution to NeurIPS 2021 - AWS Deepracer Challenge. In this competition, the task was to train a reinforcement learning agent (i.e. an autonomous car), t…
Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
Satyajit Tourani, Dhagash Desai, Udit Singh Parihar +4
Significant advances have been made recently in Visual Place Recognition (VPR), feature correspondence, and localization due to the proliferation of deep-learning-based methods. Ho…
Topological Mapping for Manhattan-like Repetitive Environments
Sai Shubodh Puligilla, Satyajit Tourani, Tushar Vaidya +3
We showcase a topological mapping framework for a challenging indoor warehouse setting. At the most abstract level, the warehouse is represented as a Topological Graph where the no…