Having a global 3D map (generated using slam stereo vision) of a given space, what approach would be appropriate to use this map to localize a vehicle - using stereo vision as an input?
Hi,
I suggest you see the links on the topic.
Conference Paper Map-Based Localization Method for Autonomous Vehicles Using 3D-LIDAR
Conference Paper Survey on localization methods for autonomous vehicles in smart cities
https://ieeexplore.ieee.org/document/9833300
https://www.telematicswire.net/role-of-localization-in-autonomous-vehicles/
Conference Paper Map-Matching-Based Localization Using Camera and Low-Cost GP...
Article Development of Localization and Mapping Software for Autonomous Cars
Best regards
Wojciech Ptasinski Have a look at these articles:
1. http://kth.diva-portal.org/smash/get/diva2:859759/FULLTEXT01.pdf
2. http://www.roboticsproceedings.org/rss03/p16.pdf
Hello Wojciech Ptasinski
For stereo-vision, ORB-SLAM2 or 3 can be interesting, source code is available in GitHub to quickly test and evaluate the algorithms. There is also Kimera-VIO (Stereo/Mono + IMU) which can be interesting.
https://arxiv.org/pdf/1910.02490.pdf
https://128.84.21.199/pdf/1610.06475.pdf
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