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pro vyhledávání: '"Scalerandi, Luca"'
Autor:
Meier, Johannes, Scalerandi, Luca, Dhaouadi, Oussema, Kaiser, Jacques, Araslanov, Nikita, Cremers, Daniel
Existing techniques for monocular 3D detection have a serious restriction. They tend to perform well only on a limited set of benchmarks, faring well either on ego-centric car views or on traffic camera views, but rarely on both. To encourage progres
Externí odkaz:
http://arxiv.org/abs/2408.11958
Publikováno v:
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023
LiDAR object detection algorithms based on neural networks for autonomous driving require large amounts of data for training, validation, and testing. As real-world data collection and labeling are time-consuming and expensive, simulation-based synth
Externí odkaz:
http://arxiv.org/abs/2303.01899