22 citations · 29 across the 12 of their papers we have counts for
12 papers
A Certifably Correct Algorithm for Generalized Robot-World and Hand-Eye Calibration
Emmett Wise, Pushyami Kaveti, Qilong Chen +5
Automatic extrinsic sensor calibration is a fundamental problem for multi-sensor platforms. Reliable and general-purpose solutions should be computationally efficient, require few…
Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception
Pushyami Kaveti, Ambjorn Grimsrud Waldum, Hanumant Singh +1
Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) demand robust spatial perception capabilities, including Simultaneous Localization and Mapping (SLAM), t…
Towards Long Term SLAM on Thermal Imagery
Colin Keil, Aniket Gupta, Pushyami Kaveti +1
Visual SLAM with thermal imagery, and other low contrast visually degraded environments such as underwater, or in areas dominated by snow and ice, remain a difficult problem for ma…
OASIS: Optimal Arrangements for Sensing in SLAM
Pushyami Kaveti, Matthew Giamou, Hanumant Singh +1
The number and arrangement of sensors on mobile robot dramatically influence its perception capabilities. Ensuring that sensors are mounted in a manner that enables accurate detect…
Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation
Pushyami Kaveti, Aniket Gupta, Dennis Giaya +5
Robustness in Simultaneous Localization and Mapping (SLAM) remains one of the key challenges for the real-world deployment of autonomous systems. SLAM research has seen significant…
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
Xiangyu Bai, Yedi Luo, Le Jiang +4
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to…
Design and Evaluation of a Generic Visual SLAM Framework for Multi-Camera Systems
Pushyami Kaveti, Shankara Narayanan Vaidyanathan, Arvind Thamilchelvan +1
Multi-camera systems have been shown to improve the accuracy and robustness of SLAM estimates, yet state-of-the-art SLAM systems predominantly support monocular or stereo setups. T…
An Iterative Labeling Method for Annotating Fisheries Imagery
Zhiyong Zhang, Pushyami Kaveti, Hanumant Singh +3
In this paper, we present a methodology for fisheries-related data that allows us to converge on a labeled image dataset by iterating over the dataset with multiple training and pr…
A Light Field Front-end for Robust SLAM in Dynamic Environments
Pushyami Kaveti, Hanumant Singh
There is a general expectation that robots should operate in urban environments often consisting of potentially dynamic entities including people, furniture and automobiles. Dynami…
Removing Dynamic Objects for Static Scene Reconstruction using Light Fields
Pushyami Kaveti, Sammie Katt, Hanumant Singh
There is a general expectation that robots should operate in environments that consist of static and dynamic entities including people, furniture and automobiles. These dynamic env…
Role of Intrinsic Motivation in User Interface Design to Enhance Worker Performance in Amazon MTurk
Pushyami Kaveti, Md Navid Akbar
Biologists and scientists have been tackling the problem of marine life monitoring and fish stock estimation for many years now. Efforts are now directed to move towards non-intrus…
ROS Rescue : Fault Tolerance System for Robot Operating System
Pushyami Kaveti, Hanumant Singh
In this chapter we discuss the problem of master failure in ROS1.0 and its impact on robotic deployments in the real world. We address this issue in this tutorial chapter where we…