Neural City Maps for GNSS Shadow Matching

preview_player
Показать описание
ION GNSS+ 2024 Daniel Neamati, Mira Partha, Shubh Gupta, and Grace Gao
  1. Stanford Navigation and Autonomous Vehicles Lab
Рекомендации по теме
Neural City Maps 0:17:40

Neural City Maps for GNSS NLOS Prediction

Neural City Maps 0:18:04

Neural City Maps for GNSS Shadow Matching

Neural City Maps: 0:19:18

Neural City Maps: A Case for 3D Urban Environment Representations Based on Radiance Fields

Designing Deep Neural 0:19:49

Designing Deep Neural Networks for Sequential GNSS Positioning

Neural Radiance Maps 0:18:36

Neural Radiance Maps for Extraterrestrial Navigation and Path Planning

Breaking the Boundaries: 0:24:10

Breaking the Boundaries: Integrating GIS, AI, and Lidar for Digital Innovation

Presentation: TE-LSTM for 0:03:07

Presentation: TE-LSTM for GNSS NLOS Detection

MTh Rhyner HS21: 0:04:25

MTh Rhyner HS21: A novel map matching approach for low-cost mobile mapping systems

GNSS Pro 0:17:39

GNSS Pro

Data-driven protection levels 0:39:52

Data-driven protection levels for camera and 3D map-based safe urban localization

Multi Epoch 3D 0:02:29

Multi Epoch 3D Mapping Aided Positioning using Bayesian Filtering Techniques

Yamchi Dam near 0:00:15

Yamchi Dam near to Ardebil city, North Iran Satellite Interferometry (DInSAR) 3D map in PyGMTSAR

Adyasha Mohanty Defense: 0:37:13

Adyasha Mohanty Defense: Improving GNSS and camera vision fusion for urban localization

Tracking with Graph 0:32:47

Tracking with Graph Neural Networks

Tightly-coupled GNSS-aided Visual-Inertial 0:04:00

Tightly-coupled GNSS-aided Visual-Inertial Localization

Vision-Based Kilometer-Scale Navigation 0:06:42

Vision-Based Kilometer-Scale Navigation with Geographic Hints (RSS 2022 Best Systems Paper Finalist)

LiDAR scan reveals 0:00:49

LiDAR scan reveals 4,300 Year Old Ancient Secret

Non-Line-of-Sight Imaging With 0:07:55

Non-Line-of-Sight Imaging With Signal Superresolution Network

Who needs HD? 0:55:52

Who needs HD? Next-Gen AR Guidance with ADAS and SD Maps (Dr. Martin Pfeifle - NNG)

Tightly Coupled Graph 0:13:50

Tightly Coupled Graph Neural Network and Kalman Filter for Improving Smartphone GNSS Positioning

Fixposition Combining 0:21:29

Fixposition Combining computer vision and GNSS GPS for robust high accuracy navigation

2023 | End-to-end 0:13:35

2023 | End-to-end deep learning for boundary regularization & vectorization of building footprin...

Topic: The role 1:24:41

Topic: The role of Geoinformatics to monitor the urban growth

Continuous GPS Authentication 0:19:51

Continuous GPS Authentication with Chimera Using Stochastic Reachability