22 citations · 29 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
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…
Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis
Yedi Luo, Xiangyu Bai, Le Jiang +4
This paper presents a novel approach, TeFS (Temporal-controlled Frame Swap), to generate synthetic stereo driving data for visual simultaneous localization and mapping (vSLAM) task…
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…