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Deep Multi-modal Object Detection for Autonomous Driving
2021
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
Robust perception in autonomous vehicles is a huge challenge that is the main tool for detecting and tracking the different kinds of objects around the vehicle. The aim is to reach the capability of the human level, which is frequently realized by taking utility of several sensing modalities. This lead to make the sensor combination a main part of the recognition system. In this paper, we present methods that have been proposed in the literature for the different deep multi-modal perception
doi:10.1109/ssd52085.2021.9429355
fatcat:ek3qpf3dzbed7iyvkcwk6mv4hu