Lane Detection with Versatile AtrousFormer and Local Semantic Guidance

Vision-based Vehicle Guidance Lane Detection

F rom automatic transmissions to cruise control to antilock braking systems, passenger vehicles have incorporated automated subsystems that make driving easier and safer. Moreover, a growing number of microprocessors on late-model automobiles now monitor and control engine operations to improve mileage and reduce emissions. Thus an eventual move to autonomous, self-guided vehicles might be view...

A Hyperbola - Pair Based Lane Detection System for Vehicle Guidance

Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. The ability to perceive, or sense, the surrounding environment is essential to driving and thus to the development of autonomous self-guided vehicles However, the time requirements of an autonomous vehicl...

Vision Based Road Lane Detection System for Vehicles Guidance

Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road and the determination of the relative position between vehicle and road. A vision system using on-b...

Semantic guidance with SCOTT

Proof Planning with Semantic Guidance

Proof planning [2, 10] is a reasoning process in which mathematical theorem proving is viewed as a planning problem. It incorporates domain-dependent and/or general mathematical knowledge, and shows a great potential in the area where the traditional logicbased theorem proving systems have been typically weak. The plan operator – method – encodes a piece of mathematical knowledge. When there ar...