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.
Location: Holiday 2-3 (Second Floor)
In-Person presenters in this session provide pre-recorded presentations for viewing by registered attendees on Wednesday, September 10.

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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 Peer Reviewed
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 Features for 3D Map Localization     Daniel Neamati, Adam Dai, Mira Partha, Stanford University; Lance Legel, Ecodash.ai and 3co.ai; and Grace Gao, Stanford University Best Presentation
2:58	Full Stack Navigation, Mapping, and Planning for the Lunar Autonomy Challenge     Adam Dai, Asta Wu, Keidai Iiyama, Guillem Casadesus Vila, Kaila Coimbra, Thomas Deng, and Grace Gao, Stanford University Peer Reviewed
3:20	Quantum Time Transfer using Entangled Photons   David Mitlyng, Xairos Systems, Inc.
3:42	Lightweight GNSS DPE/INS Integration Using Google Smartphone Decimeter Challenge Dataset     Xinyue Lin, Rong Yang, Wei Gao, Jihong Huang, Shanghai Jiao Tong University, Penggao Yan, Hong Kong Polytechnic University, Xingqun Zhan, School of Aeronautics and Astronautics, Shanghai Jiao Tong University
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 Peer Reviewed
4:26	Edge Device-Optimized LiDAR SLAM for Real-Time and Robust Localization in Dynamic Environments     Sai Parimi and Robert Bensch, ANavS GmbH

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
	Quality-Driven Feature Adaptation for Robust Visual SLAM in Challenging Environments     Ziwei Ma, Di He, Yiqian Li, Shanghai Key Laboratory of Navigation and Location-based Services, School of Automation and Intelligent Sensing, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Peer Reviewed

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