Dòng Nội dung
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Đâu là lý do mà xự tự hành trở nên đắt đỏ / Tạ Tuyên // Tạp chí Tự động hóa ngày nay . - 2020. - Tr. 27-29. - ISSN:


3 tr.
Ký hiệu phân loại (DDC): 621
Một hệ thống xe tự hành cải thiện điều kiện giao thông, tăng cường an toàn và cải thiện chất lượng không khí
Số bản sách: (0) Tài liệu số: (1)
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Engineering Autonomous Vehicles and Robots : The DragonFly Modular-based Approach / Shaoshan Liu
NY : Wiley-IEEE Press, 2020
216 pages. : illustration ; 28 cm.
Ký hiệu phân loại (DDC): 621
Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus, chassis, sonars, radars, GNSS, computer vision, localization, perception, motion planning, and more.
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Pedestrian Activity Prediction Based On Semantic Segmentation and Hybrid Of Machines / Diem Phuc Tran, Van Dung Hoang, Tri Cong Pham, Chi Mai Luong // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2018. - Page 113 - 125. - ISSN:


13 p.
Ký hiệu phân loại (DDC): 629.283
The article presents an advanced driver assistance. system (ADAS) based on a situational recognition solution and provides alert levels in the context of actual traffic. The solution is a process in which a single image is segmented to detect pedestrians position as well as extract features of pedestrian posture to predict the action. The main purpose of this process is to improve accuracy and provide warning levels, which supports autonomous vehicle navigation to avoid collisions the process of the situation prediction and issuing of warning levels consists of two phases: Segmenting in order to definite the located pedestrians and other objects in traffic environment . Judging the situation according to the position and posture of pedestrians in traffic. The accuracy rate of the action prediction is 99.59% and the speed is 5 frames per second
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Theories and practices of self-driving vehicles / Qingguo Zhou, Zebang Shen, Binbin Yong, Rui Zhao, Peng Zhi
Netherlands, Amsterdam : Elsevier, 2022
342 pages. ; cm.
Ký hiệu phân loại (DDC): 629.892
Theories and Practice of Self-Driving Vehicles presents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology.
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