Passive vision road obstacle detection: a literature mapping

T Rateke, A von Wangenheim - International Journal of Computers …, 2022 - Taylor & Francis
Obstacle detection is one of the main tasks in intelligent vehicle navigation systems. Several
research works focused on the use of passive vision (cameras) to accomplish this task have …

A review on vision based control of autonomous vehicles using artificial intelligence techniques

SK Mishra, S Das - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
In recent years, there has been substantial research scope for Autonomous Unmanned
Ground Vehicles (AUGV) which is a burning topic for researchers and scientists. The …

Depth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection

C Wang, N Aouf - Journal of Intelligent & Robotic Systems, 2024 - Springer
Automatic 3D object detection using monocular cameras presents significant challenges in
the context of autonomous driving. Precise labeling of 3D object scales requires accurate …

Towards Scene Understanding Implementing the Stixel World

A Grenier, A AlZoubi, L Feetham… - 2018 IEEE British and …, 2018 - ieeexplore.ieee.org
In this paper, we present our work towards scene understanding based on modeling the
scene prior to understanding its content. We describe the environment representation model …

3D panoptic segmentation with unsupervised clustering for visual perception in autonomous driving

A Grenier - 2021 - dspace.lib.cranfield.ac.uk
For the past decade, substantial progress has been achieved in the field of visual per
ception for autonomous driving application thanks notably to the capabilities of deep …

Stixel-based Traffic Scene Representation Using U-disparity

L Chen, Y Huang, X Hu, H Wei… - Journal of Physics …, 2019 - iopscience.iop.org
Abstract The Stixel World is a valid approach of interpreting 3D traffic scenes. This paper
presents a novel and simple method to establish the Stixel World by exploiting the properties …