Publication number: 20250252849
Abstract: The technology described herein provides systems and methods for an Automated Driving Cloud System (ADCS) for long-tail corner cases. The ADCS for long-tail corner cases comprises a cloud-based platform, a communication module, and/or an onboard unit (OBU). The ADCS leverages world models to provide automated driving functions including sensing, prediction, planning, decision making, and control at microscopic, mesoscopic, and/or macroscopic levels. The system is specifically designed to address long-tail corner cases, which include work zones, special events, reduced speed zones, incident detection, buffer spaces, and adverse weather conditions. Additionally, the ADCS is configured to provide safety and efficiency measures for vehicle operations and control at various special scales that require additional system coverage, including construction zones, special event zones, and special weather conditions. The ADCS enables adaptive and reliable automated driving in highly uncertain and dynamic environments.
Type:
Application
Filed:
March 26, 2025
Publication date:
August 7, 2025
Inventors:
Bin Ran, Yuan Zheng, Can Wang, Yang Cheng, Yifan Yao, Keshu Wu, Tianyi Chen, Haotian Shi, Shen Li, Kunsong Shi, Zhen Zhang, Fan Ding, Huachun Tan, Yuankai Wu, Shuoxuan Dong, Linhui Ye, Xiaotian Li