DEEP DIVE: HOW GENERATIVE AI CAN HELP DRIVING A CAR
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Description
Generative AI or large vision-language models can improve advanced driver assistance systems (ADAS) in various ways. Dr. Liu Ren of Bosch Research in Sunnyvale, California, explains how foundation models can help label training data and analyze a bird’s eye view representation of a car’s various data sources to improve the functional performance of ADAS.
Papers:
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Henrique Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han Wei Shen, Liu Ren. "USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation", at CVPR 2024.
Chenbin Pan, Burhan Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro G. Allievi, Senem Velipasalar, Liu Ren. "VLP: Vision Language Planning for Autonomous Driving", at CVPR 2024.
Chenbin Pan, Burhan Yaman, Senem Velipasalar, Liu Ren. "CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow", at CVPR 2024.
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