SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations
Author:
Affiliation:
1. University of California San Diego,Students of Contextual Robotics Institute,CA,USA,92093
2. University of California San Diego,Faculty of the Department of Computer Science and Engineering,CA,USA,92093
Funder
Qualcomm
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588555.pdf?arnumber=10588555
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2. Openlane-v2: A topology reasoning benchmark for unified 3d hd mapping;Wang,2023
3. Argoverse 2: Next generation datasets for self-driving perception and forecasting;Wilson;Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021),2021
4. Simmf: Semantics-aware interactive multiagent motion forecasting for autonomous vehicle driving;Nivash,2023
5. OpenStreetMap-Based LiDAR Global Localization in Urban Environment Without a Prior LiDAR Map
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