Autonomous driving paper index
Applications of Deep Learning for Automatic Detection of the Lane in Autonomous Driving
One-line summary
Autonomous cars are intelligent machines that can operate and move automatically without human control.
Engineering notes
Key topics: autonomous driving, self-driving car, self-driving, lane detection, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Autonomous cars are intelligent machines that can operate and move automatically without human control. It is capable of detecting and determining the surrounding environmental conditions, thereby making decisions to navigate to the destination in a stable and safe manner. This paper demonstrates that one of the important applications of image processing technology in autonomous cars is lane detection and tracking. The use of cameras enables the self-driving car to identify and analyze lane markings, thus adjusting its direction of movement to be appropriate and safe.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments