End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles

Autonomous driving vehicles rely on sensors for the robust perception of their surroundings. Such vehicles are equipped with multiple perceptive sensors with a high level of redundancy to ensure safety and reliability in any driving condition. However, multi-sensor, such as camera, LiDAR, and radar...

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Autors principals:	Junyi Gu, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, Raivo Sell
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-07-01
Col·lecció:	Sensors
Matèries:	multimodal sensors autonomous driving dataset collection framework sensor calibration and synchronization sensor fusion
Accés en línia:	https://www.mdpi.com/1424-8220/23/15/6783
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