CVPR 2025 Presentation: PhysNav-DG
Mr. Srinivasan & Mr. Patapati will present our paper on PhysNav-DG at CVPR 2025. PhysNav-DG is a novel adaptive framework for robust vision-language model and sensor fusion in navigation applications. The presentation will cover the framework architecture, experimental results, and potential applications in autonomous vehicles, robotics, and assistive technologies.
Speakers
Trisanth Srinivasan
Mr. Srinivasan leads Cyrion Labs. His research focuses on advancing state-of-the-art computer vision techniques for navigation and object detection.
View profileSantosh Patapati
Mr. Patapati leads Cyrion Labs. His research focuses on advancing state-of-the-art computer vision techniques for navigation and object detection.
View profileAgenda
Introduction
Overview of the PhysNav-DG framework and its applications.
Technical Presentation
Detailed explanation of the framework architecture, including the multi-modal perception module, domain-adaptive fusion module, and navigation planning module.
Results and Discussion
Presentation of experimental results from both simulated and real-world environments, demonstrating the framework's performance in challenging conditions.
Q&A
Open discussion and questions from the audience.
Related Research
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Read paperVIZ: Virtual & Physical Navigation System for the Visually Impaired
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