PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot

no code implementations • 7 Apr 2024 • Shenbagaraj Kannapiran, Sreenithy Chandran, Suren Jayasuriya, Spring Berman

The study of non-line-of-sight (NLOS) imaging is growing due to its many potential applications, including rescue operations and pedestrian detection by self-driving cars.

Pathfinder Pedestrian Detection +1

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

no code implementations • 2 Aug 2023 • Shenbagaraj Kannapiran, Nalin Bendapudi, Ming-Yuan Yu, Devarth Parikh, Spring Berman, Ankit Vora, Gaurav Pandey

In this paper, we present a Stereo Visual Odometry (StereoVO) technique based on point and line features which uses a novel feature-matching mechanism based on an Attention Graph Neural Network that is designed to perform well even under adverse weather conditions such as fog, haze, rain, and snow, and dynamic lighting conditions such as nighttime illumination and glare scenarios.

3D Reconstruction Simultaneous Localization and Mapping +1