The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …

Lane line detection is a fundamental and critical task for geographic information perception
of driverless and advanced assisted driving. However, the traditional lane line detection …

With the development of unmanned vehicle technology, unmanned vehicles have played a
huge role in logistics transportation, emergency rescue and disaster relief, etc., so the …

In this paper, we propose to apply lane detection to the automated guided vehicle (AGV)
platform in an industrial environment to realize automatic driving of AGV based on visual …

In realizing automatic driving, environment perception is an important task, and the research
of lane detection algorithms occupies the leading position in environment perception. After …

Lane detection and tracking in a complex road environment is one of the most important
research areas in highly automated driving systems. Studies on lane detection cover a …

Roads are exposed to various kinds of noise, lighting conditions and weather; thus, robust
lane localization is difficult. Our paper presents an algorithm for a probabilistic estimation of …

Accurate lane detection is crucial for the safety and reliability of multi-lane automated
driving, where the complexity of traffic scenarios is significantly heightened. Leveraging the …

In smart driving for rail transit, a reliable obstacle detection system is an important guarantee
for the safety of trains. Therein, the detection of the rail area directly affects the accuracy of …

This thesis is concerned with the challenging tasks of automatic and real-time vehicle
detection and tracking from aerial video. The aim of this thesis is to build an automatic …