En la actualidad han surgido sistemas de manejo autónomo con la promesa de prevenir
accidentes viales, la creación de estos sistemas al más alto nivel implica el desarrollo de …

The creation and update of high-definition (HD) maps have become vital for advanced
applications like autonomous vehicles, yet traditional map-making techniques face inherent …

Applying 21 st century machine intelligence to the evolving transportation management
systems is under detailed investigation all around the world. The major goals of this …

This paper specifically focuses on lane detection from the UAV's perspective. In comparison
to traditional vehicle-based lane detection, the background information in UAV images tends …

This paper presents a framework for generating high-definition (HD) map, and then achieves
accurate and robust localization by virtue of the map. An iterative approximation based …

As fire-fighting robots perform emergency tasks in an outdoor long-distance environment
such as urban fire rescue, a global prior map is hard to be obtained, so most fire-fighting …

Lane detection is an important part of car autopilot. It helps the vehicle to stabilize itself in the
lane, avoid risks, and determine the direction of driving. In this paper, we propose a neural …

Digital maps are data that numerically represent map information necessary for autonomous
driving. The digital map is used for estimating vehicle positions, surrounding environments …

Locating and classifying different types of vehicles is a vital element in numerous
applications of automation and intelligent systems ranging from traffic surveillance to vehicle …

This paper addresses the problem of car detection from aerial images using Convolutional
Neural Networks (CNNs). This problem presents additional challenges as compared to car …