Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
Decision-making in driver-automation shared control: A review and perspectives
Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
Deep learning for safe autonomous driving: Current challenges and future directions
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
Robust lane detection from continuous driving scenes using deep neural networks
Lane detection in driving scenes is an important module for autonomous vehicles and
advanced driver assistance systems. In recent years, many sophisticated lane detection …
advanced driver assistance systems. In recent years, many sophisticated lane detection …
Driving style classification using a semisupervised support vector machine
Supervised learning approaches are widely used for driving style classification; however,
they often require a large amount of labeled training data, which is usually scarce in a real …
they often require a large amount of labeled training data, which is usually scarce in a real …
Human-machine shared driving: Challenges and future directions
Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …
A survey of personalization for advanced driver assistance systems
The field of advanced driver assistance systems (ADAS) has matured towards more and
more complex assistance functions, applied with wider scope and a strongly increasing user …
more complex assistance functions, applied with wider scope and a strongly increasing user …
Driving style analysis using primitive driving patterns with Bayesian nonparametric approaches
Driving style analysis plays a pivotal role in intelligent vehicle design. This paper presents a
novel framework for driving style analysis based on primitive driving patterns. To this end, a …
novel framework for driving style analysis based on primitive driving patterns. To this end, a …
A review of HMM-based approaches of driving behaviors recognition and prediction
Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …
[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 …