運用光達技術於為駛輔助系統之趼究

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Title:	運用光達技術於為駛輔助系統之趼究
Authors:	黃燕萍
Contributors:	企業管理系
Keywords:	Key words: LiDAR 、Deep Learning 丶Autonomous Vehicle 丶和g Data, D呾ta! 、 Twins
Date:	2023-10-31
Issue Date:	2023-11-27 14:47:07 (UTC+8)
Abstract:	The development of autonomous vehicles tee恤ology will have a gmne-chm1ging impact on lots of business industries, ur區mm1agement and our daily life in the near future. Nowadays 由ere are lots of new passenger cars made by major car mm1ufacturers sold in tl1e market is equipped with Advanced Driver Assistm1ce System (ADAS) as standard or option. Current ADAS systen1 are include with lots of active safety features such as Autonomous Emergency Bralcing (AEB), Blind Spot Monitoring (BSM), Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA) etc. These features are designed to not only reduce driving pressure and also reduce the chm1ce of getting car accident. Therefore, the research is to achieve Level 2 Hm1ds free autonomous driving system. To achieve this goal, we need to improve ilie current ADAS with the help of LiDAR range finding sensor, computer vision m1d deep learning. Not only that, the 唧lication of 山gital twins also cm1 help us to e1血nced the algoritlnn of the self-driving system such as data training of object detection and recognition using computer vision to increase the efficiency of development.
Appears in Collections:	[Department and Institute of Business Administration] Research Projects in School

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