Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
A review of lane detection methods based on deep learning
J Tang, S Li, P Liu - Pattern Recognition, 2021 - Elsevier
Lane detection is an application of environmental perception, which aims to detect lane
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
Towards end-to-end lane detection: an instance segmentation approach
D Neven, B De Brabandere… - 2018 IEEE intelligent …, 2018 - ieeexplore.ieee.org
Modern cars are incorporating an increasing number of driver assist features, among which
automatic lane keeping. The latter allows the car to properly position itself within the road …
automatic lane keeping. The latter allows the car to properly position itself within the road …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Vpgnet: Vanishing point guided network for lane and road marking detection and recognition
In this paper, we propose a unified end-to-end trainable multi-task network that jointly
handles lane and road marking detection and recognition that is guided by a vanishing point …
handles lane and road marking detection and recognition that is guided by a vanishing point …
A review of recent advances in lane detection and departure warning system
Statistics show that worldwide motor vehicle collisions lead to significant deaths and
disabilities as well as substantial financial costs to both society and the individuals involved …
disabilities as well as substantial financial costs to both society and the individuals involved …
Hyperspectral and lidar data applied to the urban land cover machine learning and neural-network-based classification: A review
Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …
for using machine learning algorithms to map urban environments. Both hyperspectral and …
Robust lane detection using two-stage feature extraction with curve fitting
With the increase in the number of vehicles, many intelligent systems have been developed
to help drivers to drive safely. Lane detection is a crucial element of any driver assistance …
to help drivers to drive safely. Lane detection is a crucial element of any driver assistance …
Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure
Lane detection (LD) under different illumination conditions is a vital part of lane departure
warning system and vehicle localization which are current trends in the future smart cities …
warning system and vehicle localization which are current trends in the future smart cities …
[HTML][HTML] Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review
W Chen, W Wang, K Wang, Z Li, H Li, S Liu - Journal of traffic and …, 2020 - Elsevier
Recently, the development and application of lane line departure warning systems have
been in the market. For any of the systems, the key part of lane line tracking, lane line …
been in the market. For any of the systems, the key part of lane line tracking, lane line …