Deep Dive: HOW Generative AI CAN Help Driving A CAR

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.

You can listen to Deep Dive: HOW Generative AI CAN Help Driving A CAR online on Radio and Podcast. Open the player on this page to stream the available audio.

Deep Dive: HOW Generative AI CAN Help Driving A CAR is an episode from From KNOW-HOW to WOW by Robert Bosch GmbH.

This episode is 9:38 long.

This episode was published on May 29, 2024.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from From KNOW-HOW to WOW when more episodes are available from the podcast feed.