ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Perceiving the surroundings accurately and quickly is one of the most essential and challenging tasks for autonomous systems such as self-driving cars. The most common sensing systems such as RADAR and LIDAR that are used for perception on self-driving cars today give a full 360◦ view to the car making it more informed about the environment than a human driver. This article presents a methodology to employ two 360◦ cameras to perceive obstacles all around the autonomous vehicle using stereo vision. Using vertical, rather than horizontal, camera displacement allows the computation of depth information in all viewing directions, except zenith and nadir which have the least useful information about the obstacles. The Key idea for obstacle detection is to classify points in the 3D space based on height, width and traversable slope relative to the neighbouring points. The detected obstacle points can be mapped onto convenient projection planes for motion planning.