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20052026
most citedLiDAR-Camera Calibration using 3D-3D Point correspondences

148 citations · 242 across the 60 of their papers we have counts for

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46 papers · 1 filter

cs.RO2026

Beyond Frontiers: Scene-Anomaly Guided Autonomous Exploration

Akash Kumbar, Abhinav Raundhal, Madhava Krishna

Autonomous exploration of unknown 3D environments is traditionally driven by coverage-maximizing geometric heuristics. However, these methods typically determine exploration target…

cs.RO2023

Hierarchical Unsupervised Topological SLAM

Ayush Sharma, Yash Mehan, Pradyumna Dasu +2

In this paper we present a novel framework for unsupervised topological clustering resulting in improved loop. In this paper we present a novel framework for unsupervised topologic…

cs.RO2023★ 5 cited

Instance-Level Semantic Maps for Vision Language Navigation

Laksh Nanwani, Anmol Agarwal, Kanishk Jain +7

Humans have a natural ability to perform semantic associations with the surrounding objects in the environment. This allows them to create a mental map of the environment, allowing…

cs.RO2023

UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images

Vikrant Dewangan, Basant Sharma, Tushar Choudhary +4

Autonomous driving requires accurate reasoning of the location of objects from raw sensor data. Recent end-to-end learning methods go from raw sensor data to a trajectory output vi…

cs.RO2023

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation

Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan +4

We focus on the problem of LiDAR point cloud based loop detection (or Finding) and closure (LDC) in a multi-agent setting. State-of-the-art (SOTA) techniques directly generate lear…

cs.RO2022

Leveraging Distributional Bias for Reactive Collision Avoidance under Uncertainty: A Kernel Embedding Approach

Anish Gupta, Arun Kumar Singh, K. Madhava Krishna

Many commodity sensors that measure the robot and dynamic obstacle's state have non-Gaussian noise characteristics. Yet, many current approaches treat the underlying-uncertainty in…