8 DAILY WACV Monday Oral Presentation Autonomous vehicles typically have an heterogeneous sensor suite installed on board. This is because you need a lot of sensors of different types to enable an intelligent vehicle to drive in an automatic way. A fundamental in this scenario is to fuse all the information that you acquire with your sensors. In order to have consistent and coherent data, you need to know the relations that you have between different sensors. CalibBEV: LiDAR-Camera Calibration via BEV Alignment Filippo D’Addeo (left) is a third year PhD student in Automotive Engineering for Intelligent Mobility at the University of Bologna. Lorenzo Cipelli (right) is a second year PhD student at the University of Parma. Their research activity takes place in Italy at VisLab, an Ambarella company developing autonomous driving vehicle algorithms. Their paper focuses on LiDAR and camera calibration. Both Filippo and Lorenzo are at their first computer vision conference and they start very strong with an oral presentation. Kudos! They talk to us ahead of their oral and poster presentation today.
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