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Devarth Parikh

3 accepted papers

2023

GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration

RA-L 2023

Using geometric landmarks like lines and planes can increase navigation accuracy and decrease map storage requirements compared to commonly-used LiDAR point cloud maps. However, landmark-based registration for applications like loop closure detection is challenging because a reliable initial guess i

Cited by 15SourceScholar
2023

Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching Using an Attention Graph Neural Network

IROS 2023poster

Robust feature matching forms the backbone for most Visual Simultaneous Localization and Mapping (vSLAM), visual odometry, 3D reconstruction, and Structure from Motion (SfM) algorithms. However, recovering feature matches from texture-poor scenes is a major challenge and still remains an open area o…

Cited by 4SourceScholar
2022

Localization of a Smart Infrastructure Fisheye Camera in a Prior Map for Autonomous Vehicles

ICRA 2022poster

This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside the line of sight of the autonomous vehicles (AV) and send that information to AVs using V2X technology. However, in order…

Cited by 6SourceScholar