首页|New Robotics and Automation Study Findings Have Been Reported by Investigators a t Tsinghua University (Mixing Left and Right-hand Driving Data In a Hierarchical Framework With Llm Generation)

New Robotics and Automation Study Findings Have Been Reported by Investigators a t Tsinghua University (Mixing Left and Right-hand Driving Data In a Hierarchical Framework With Llm Generation)

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Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, "Data-drive n trajectory prediction is critical in autonomous vehicles, which requires high- quality data. However, discussions about the compatibility of data collected fro m different countries remain limited, with a typical issue being the different d riving rules in various countries." Financial support for this research came from National Key Research & Development Program of China. The news reporters obtained a quote from the research from Tsinghua University, "Therefore, we propose a hierarchical framework for mixing left and right-hand d riving data to support trajectory prediction. Integrated with a proposed LLM-bas ed sample generation method, the framework utilizes mirroring, MMD and sample ge neration incrementally to reduce the domain gap between datasets."

BeijingPeople's Republic of ChinaAsi aRobotics and AutomationRoboticsTsinghua University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.9)