Pronav: Proprioceptive traversability estimation for legged robot navigation in outdoor environments

M Elnoor, AJ Sathyamoorthy… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
We propose a novel method, ProNav, which uses proprioceptive signals for traversability
estimation in challenging outdoor terrains for autonomous legged robot navigation. Our …

Graspe: Graph based multimodal fusion for robot navigation in unstructured outdoor environments

K Weerakoon, AJ Sathyamoorthy, J Liang… - arXiv preprint arXiv …, 2022 - arxiv.org
We present a novel trajectory traversability estimation and planning algorithm for robot
navigation in complex outdoor environments. We incorporate multimodal sensory inputs …

The equipment detection and localization of large-scale construction jobsite by far-field construction surveillance video based on improving YOLOv3 and grey wolf …

T Zeng, J Wang, B Cui, X Wang, D Wang… - Construction and Building …, 2021 - Elsevier
The equipment detection and localization on large-scale construction jobsite by far-field
construction surveillance video is significant to monitor jobsite safety and construction …

Classification of the sidewalk condition using self-supervised transfer learning for wheelchair safety driving

HY Yoon, JH Kim, JW Jeong - Sensors, 2022 - mdpi.com
The demand for wheelchairs has increased recently as the population of the elderly and
patients with disorders increases. However, society still pays less attention to infrastructure …

Object detection for night surveillance using Ssan dataset based modified Yolo algorithm in wireless communication

RA Murugan, B Sathyabama - Wireless Personal Communications, 2023 - Springer
Night vision greatly affects the efficiency of our vision which we come across daily. In this
work we mainly focus on the night vision system to improve the safety and security of people …

Safety of Perception Systems for Automated Driving: A Case Study on Apollo

S Kochanthara, T Singh, A Forrai… - ACM Transactions on …, 2024 - dl.acm.org
The automotive industry is now known for its software-intensive and safety-critical nature.
The industry is on a path to the holy grail of completely automating driving, starting from …

GrASPE: Graph based Multimodal Fusion for Robot Navigation in Outdoor Environments

K Weerakoon, AJ Sathyamoorthy… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
We present a novel trajectory traversability estimation and planning algorithm for robot
navigation in complex outdoor environments. We incorporate multimodal sensory inputs …

A generalized tool for accurate and efficient image registration of UAV multi-lens multispectral cameras by N-SURF matching

JP Jhan, JY Rau - IEEE Journal of Selected Topics in Applied …, 2021 - ieeexplore.ieee.org
The original multispectral (MS) images obtained from multi-lens multispectral cameras
(MSCs) have significant misregistration errors, which require image registration for precise …

Auto-exposure algorithm for enhanced mobile robot localization in challenging light conditions

MA Bégin, I Hunter - Sensors, 2022 - mdpi.com
The success of robot localization based on visual odometry (VO) largely depends on the
quality of the acquired images. In challenging light conditions, specialized auto-exposure …

AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor Environments

M Elnoor, K Weerakoon, AJ Sathyamoorthy… - arXiv preprint arXiv …, 2024 - arxiv.org
We present AMCO, a novel navigation method for quadruped robots that adaptively
combines vision-based and proprioception-based perception capabilities. Our approach …