Robotics & Machine Learning Daily News2024,Issue(Jun.12) :81-81.

Findings in Intelligent Vehicles Reported from Beijing University of Chemical Technology (Chatgpt-based Scenario Engineer: a New Framework On Scenario Generation for Trajectory Prediction)

北京化工大学智能车辆研究成果(基于chatgptscenario Engineer:轨迹预测情景生成新框架)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :81-81.

Findings in Intelligent Vehicles Reported from Beijing University of Chemical Technology (Chatgpt-based Scenario Engineer: a New Framework On Scenario Generation for Trajectory Prediction)

北京化工大学智能车辆研究成果(基于chatgptscenario Engineer:轨迹预测情景生成新框架)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论交通方面的新发现-智能车辆。根据NewsRx记者在中华人民共和国北京的新闻报道,研究表明,“平行驾驶的最新发展预示着使用基础模型跨组织传递情报的可能性。众所周知,智能车辆(IV)领域的情景获取存在效率、多样性和复杂性等限制,阻碍了车辆情报的深入研究。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Transportation - Intelligent Vehicles. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The latest developments in parallel driving foreshadow the possibility of delivering intelligence across organizations using foundation models. As is well-known, there are limitations in scenario acquisition in the field of intelligent vehicles (IV), such as efficiency, diversity, and complexity, which hinder in-depth research of vehicle intelligence.”

Key words

Beijing/People's Republic of China/Asia/Intelligent Vehicles/Transportation/Engineering/Beijing University of Chemical Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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