Driver activity recognition for intelligent vehicles: A deep learning approach
Driver decisions and behaviors are essential factors that can affect the driving safety. To
understand the driver behaviors, a driver activities recognition system is designed based on …
understand the driver behaviors, a driver activities recognition system is designed based on …
Human-like decision making for autonomous driving: A noncooperative game theoretic approach
Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …
State-of-the-art review on recent advancements on lateral control of autonomous vehicles
The most well-known research on driverless vehicles at the moment is connected
autonomous vehicles (CAVs), which reflects the future path for the self driving field. The …
autonomous vehicles (CAVs), which reflects the future path for the self driving field. The …
MME-EKF-based path-tracking control of autonomous vehicles considering input saturation
This paper investigates the path-tracking control issue for autonomous ground vehicles with
the integral sliding mode control (ISMC) considering the transient performance …
the integral sliding mode control (ISMC) considering the transient performance …
Path-tracking of autonomous vehicles using a novel adaptive robust exponential-like-sliding-mode fuzzy type-2 neural network controller
H Taghavifar, S Rakheja - Mechanical Systems and Signal Processing, 2019 - Elsevier
Structured and unstructured uncertainties together with external disturbances may pose
considerable challenges in realizing desired path-tacking and lane keeping of autonomous …
considerable challenges in realizing desired path-tacking and lane keeping of autonomous …
Multiobjective optimization of lane-changing strategy for intelligent vehicles in complex driving environments
This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …
constraints of collision avoidance in complex driving environments. The key technique is …
A probabilistic model for driving-style-recognition-enabled driver steering behaviors
This article presents a framework to determine driving style and design a driver steering
model considering driver characteristics. First, principal component analysis (PCA) and …
model considering driver characteristics. First, principal component analysis (PCA) and …
Lane keeping of autonomous vehicles based on differential steering with adaptive multivariable super-twisting control
This paper investigates the lane keeping control for four-wheel independently actuated
autonomous vehicles. To guarantee the vehicle safety when the active-steering motor …
autonomous vehicles. To guarantee the vehicle safety when the active-steering motor …
Driver's individual risk perception-based trajectory planning: A human-like method
Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …
environments. In addition, different drivers have different handling preferences. How to …
Car-following method based on inverse reinforcement learning for autonomous vehicle decision-making
There are still some problems need to be solved though there are a lot of achievements in
the fields of automatic driving. One of those problems is the difficulty of designing a car …
the fields of automatic driving. One of those problems is the difficulty of designing a car …