Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving
With recent advances in learning algorithms and hardware development, autonomous cars
have shown promise when operating in structured environments under good driving …
have shown promise when operating in structured environments under good driving …
LIDAR–camera fusion for road detection using fully convolutional neural networks
In this work, a deep learning approach has been developed to carry out road detection by
fusing LIDAR point clouds and camera images. An unstructured and sparse point cloud is …
fusing LIDAR point clouds and camera images. An unstructured and sparse point cloud is …
Navigation assistance for the visually impaired using RGB-D sensor with range expansion
A Aladren, G López-Nicolás, L Puig… - IEEE Systems …, 2014 - ieeexplore.ieee.org
Navigation assistance for visually impaired (NAVI) refers to systems that are able to assist or
guide people with vision loss, ranging from partially sighted to totally blind, by means of …
guide people with vision loss, ranging from partially sighted to totally blind, by means of …
Zero-shot day-night domain adaptation with a physics prior
We explore the zero-shot setting for day-night domain adaptation. The traditional domain
adaptation setting is to train on one domain and adapt to the target domain by exploiting …
adaptation setting is to train on one domain and adapt to the target domain by exploiting …
[PDF][PDF] Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles
In this paper we propose the use of an illumination invariant transform to improve many
aspects of visual localisation, mapping and scene classification for autonomous road …
aspects of visual localisation, mapping and scene classification for autonomous road …
Visual lane analysis and higher-order tasks: a concise review
Lane detection, lane tracking, or lane departure warning have been the earliest components
of vision-based driver assistance systems. At first (in the 1990s), they have been designed …
of vision-based driver assistance systems. At first (in the 1990s), they have been designed …
Mobile robots navigation in indoor environments using kinect sensor
DSO Correa, DF Sciotti, MG Prado… - 2012 Second …, 2012 - ieeexplore.ieee.org
This paper presents the development of a perception system for indoor environments to
allow autonomous navigation for surveillance mobile robots. The system is composed by …
allow autonomous navigation for surveillance mobile robots. The system is composed by …
[图书][B] Color in computer vision: fundamentals and applications
While the field of computer vision drives many of today's digital technologies and
communication networks, the topic of color has emerged only recently in most computer …
communication networks, the topic of color has emerged only recently in most computer …
[PDF][PDF] Design and implementation of autonomous car using Raspberry Pi
GS Pannu, MD Ansari, P Gupta - International Journal of Computer …, 2015 - academia.edu
The project aims to build a monocular vision autonomous car prototype using Raspberry Pi
as a processing chip. An HD camera along with an ultrasonic sensor is used to provide …
as a processing chip. An HD camera along with an ultrasonic sensor is used to provide …
3D scene priors for road detection
Vision-based road detection is important in different areas of computer vision such as
autonomous driving, car collision warning and pedestrian crossing detection. However …
autonomous driving, car collision warning and pedestrian crossing detection. However …