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 …
Internet of vehicles in big data era
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …
connected through heterogeneous radio access technologies and are able to exchange …
A review of the impact of rain on camera-based perception in automated driving systems
Automated vehicles rely heavily on image data from visible spectrum cameras to perform a
wide range of tasks from object detection, classification, and avoidance to path planning …
wide range of tasks from object detection, classification, and avoidance to path planning …
An empirical evaluation of deep learning on highway driving
B Huval, T Wang, S Tandon, J Kiske, W Song… - arXiv preprint arXiv …, 2015 - arxiv.org
Numerous groups have applied a variety of deep learning techniques to computer vision
problems in highway perception scenarios. In this paper, we presented a number of …
problems in highway perception scenarios. In this paper, we presented a number of …
Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis
S Sivaraman, MM Trivedi - IEEE transactions on intelligent …, 2013 - ieeexplore.ieee.org
This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …
tracking, and behavior understanding. Over the past decade, vision-based surround …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Extremely overlapping vehicle counting
R Guerrero-Gómez-Olmedo, B Torre-Jiménez… - Pattern Recognition and …, 2015 - Springer
The challenging problem that we explore in this paper is to precisely estimate the number of
vehicles in an image of a traffic congestion situation. We start introducing TRANCOS, a …
vehicles in an image of a traffic congestion situation. We start introducing TRANCOS, a …
Boxcars: 3d boxes as cnn input for improved fine-grained vehicle recognition
We are dealing with the problem of fine-grained vehicle make&model recognition and
verification. Our contribution is showing that extracting additional data from the video stream …
verification. Our contribution is showing that extracting additional data from the video stream …
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
DAWN: vehicle detection in adverse weather nature dataset
MA Kenk, M Hassaballah - arXiv preprint arXiv:2008.05402, 2020 - arxiv.org
Recently, self-driving vehicles have been introduced with several automated features
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …