Session D6: Alternative Technologies for GNSS-Denied Environments – Optical Approaches

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Date: Friday, September 12, 2025
Time: 1:45 p.m. - 4:50 p.m.
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 10.

In-Person Presentations These presentations will be given in-person at the conference. Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1:50	Characterizing Lidar Range-Measurement Ambiguity due to Multiple Returns Jason Rife and Yifan Li, Tufts University
2:12	Enhanced Camera-LiDAR Trilateration Using YOLO Detection and RANSAC Ranging Travis Moleski and Jay Wilhelm, Ohio University
2:35	Distributional Robustness of Learned Feature Optimization Landscapes for 3D Map Localization Mira Partha, Daniel Neamati, Stanford University; Lance Legel, Ecodash.ai and 3co.ai; and Grace Gao, Stanford University
2:58	Full Stack Navigation, Mapping, and Planning for the Lunar Autonomy Challenge Adam Dai, Asta Wu, Keidai Iiyama, Guillem Casadesus Vila, Kaila Coimbra, Alexandre Carlhammar, Brian Wu, and Grace Gao, Stanford University
3:20	Quantum Time Transfer using Entangled Photons David Mitlyng, Xairos Systems, Inc.
3:42	3D Vision-Based Positioning for Autonomous Aerial Platform Navigation Paul Millhouse, Maxar and Jamie Marraccini, Inertial Labs (now Viavi)
4:04	INS/GNSS/LiDAR Fusion for Accurate Positioning of UAVs in Complex River Environments Artur C. Fabrício, Technical University of Denmark; Mathieu Joerger, Virginia Tech; Peter Bauer-Gottwein, University of Copenhagen; Daniel H. Olesen, Technical University of Denmark
4:26	Edge Device-optimized LiDAR SLAM for Real-Time and Robust Localization in Dynamic Environments Sai Parimi, Julian Gaal, and Robert Bensch, ANavS GmbH
Alternate Presentation Alternate presentations may be given in-person at the conference if other authors are unable to present. Alternate Presenters will provide a pre-recorded presentation for on-demand viewing by all registered attendees.
1.	Quality-Driven Feature Adaptation for Robust Visual SLAM in Challenging Environments Ziwei Ma, Di He, Shanghai Key Laboratory of Navigation and Location-based Services, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

On-Demand Presentations Pre-recorded presentations will become available for viewing by registered attendees on Wednesday, September 10.
	High-Precision Edge-Assisted SLAM Systems: Error Profiling, Keyframe Selection, and Resource Allocation Yuanyuan Zhuang, Tong Bai, Yanchong Nie, Zhi Peng Wang, BUAA
	Multi-Sensor Navigation Accuracy Improvement Algorithm Based on Image Restoration Technology Wenjie Xie, Dong Zhou, Wenshuai Zhang, Wenrui Wang, Dan Tian, University of Electronic Science and Technology of China
	Multi-Source Information Fusion Navigation Algorithm Based on Deep Learning Wenjie Xie, Dong Zhou, Wenshuai Zhang, Wenrui Wang, Dan Tian, University of Electronic Science and Technology of China

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