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.
