Recent Advances in Autonomous Vehicle Technology--Perception and Path Planning
暫譯: 自駕車技術的最新進展──感知與路徑規劃
Watzenig, Daniel
商品描述
In autonomous vehicles, perception and planning are core systems enabling safe, efficient navigation. Perception interprets surroundings using data from sensors like cameras, radar, and LiDAR to detect and classify objects, traffic signs, road boundaries, and environmental conditions. Advances in machine learning and computer vision continue to improve perception accuracy and reliability. Planning determines the vehicle's actions via route, behavioral, and motion planning to safely reach its destination. Seamless integration of perception and planning is essential, relying on fast, reliable data exchange through low-latency, high-dependability frameworks. This book presents the latest technologies in perception and planning, emphasizing their integration and highlighting innovations. It serves researchers, students, engineers, ICT professionals, and industry leaders alike.
商品描述(中文翻譯)
在自駕車中，感知和規劃是實現安全、高效導航的核心系統。感知系統利用來自攝影機、雷達和LiDAR等感測器的數據來解釋周圍環境，以檢測和分類物體、交通標誌、道路邊界和環境條件。機器學習和計算機視覺的進步持續提高感知的準確性和可靠性。規劃系統則通過路徑規劃、行為規劃和運動規劃來決定車輛的行動，以安全地到達目的地。感知和規劃的無縫整合至關重要，這依賴於低延遲、高可靠性的框架進行快速、可靠的數據交換。本書介紹了感知和規劃領域的最新技術，強調它們的整合並突顯創新。它適合研究人員、學生、工程師、資訊通信技術專業人士和行業領袖等各類讀者。
作者簡介
Daniel Watzenig, born in Austria, holds a PhD in electrical engineering and habilitation from Graz University of Technology, where he is Full Professor of Multi-Sensor Perception of Autonomous Systems. He is CTO at Virtual Vehicle Research, Graz. His work focuses on robotics, sensor fusion, continual learning, and decision-making under uncertainty. Author of 200+ publications, he is Editor-in-Chief of the SAE JCAV, guest lecturer at Stanford and Tongji Universities, founder of Autonomous Racing Graz Team, IEEE Austria Vice Chair, and defense robotics consultant to Austria's military.
作者簡介(中文翻譯)
丹尼爾·瓦岑尼格，出生於奧地利，擁有格拉茨科技大學的電機工程博士學位及資格認證，目前擔任該校自主系統多感測器感知的全職教授。他是格拉茨虛擬車輛研究所的首席技術官。他的研究專注於機器人技術、感測器融合、持續學習以及不確定性下的決策。作為200多篇出版物的作者，他是SAE JCAV的主編，並在斯坦福大學和同濟大學擔任客座講師，還是自主賽車格拉茨團隊的創始人、IEEE奧地利副主席，以及奧地利軍方的防禦機器人顧問。
