Vehicle dynamic state estimation: State of the art schemes and perspectives
Next-generation vehicle control and future autonomous driving require further advances in
vehicle dynamic state estimation. This article provides a concise review, along with the …
vehicle dynamic state estimation. This article provides a concise review, along with the …
Autonomous vehicle kinematics and dynamics synthesis for sideslip angle estimation based on consensus Kalman filter
An autonomous vehicle sideslip angle estimation algorithm is proposed based on
consensus and vehicle kinematics/dynamics synthesis. Based on the velocity error …
consensus and vehicle kinematics/dynamics synthesis. Based on the velocity error …
Towards self-powered sensing using nanogenerators for automotive systems
Harvesting energy from the working environment of vehicles is important for wirelessly
monitoring their operation conditions and safety. This review aims at reporting different …
monitoring their operation conditions and safety. This review aims at reporting different …
A comprehensive implementation of road surface classification for vehicle driving assistance: Dataset, models, and deployment
The prior monitoring of the road surface conditions provides valuable information to vehicle
trajectory planning and active control systems. Road surface perception with vision sensors …
trajectory planning and active control systems. Road surface perception with vision sensors …
Tire force estimation in intelligent tires using machine learning
The concept of intelligent tires has drawn the attention of researchers in the areas of
autonomous driving, advanced vehicle control, and artificial intelligence. The focus of this …
autonomous driving, advanced vehicle control, and artificial intelligence. The focus of this …
Vehicle dynamics estimation via augmented extended Kalman filtering
G Reina, A Messina - Measurement, 2019 - Elsevier
The response of active safety systems of modern cars strongly depends on the estimation
accuracy in the key motion states of the vehicle. One common limitation of current systems is …
accuracy in the key motion states of the vehicle. One common limitation of current systems is …
MILE: Multiobjective integrated model predictive adaptive cruise control for intelligent vehicle
Adaptive cruise control (ACC) systems currently face the challenge of balancing tracking
performance and avoiding collisions with arbitrary cut-in vehicles from different lanes. The …
performance and avoiding collisions with arbitrary cut-in vehicles from different lanes. The …
Speed independent road classification strategy based on vehicle response: Theory and experimental validation
This paper presents a speed-independent road classification strategy (SIRCS) based on
sole measurement of unsprung mass acceleration. The new method provides an easy yet …
sole measurement of unsprung mass acceleration. The new method provides an easy yet …
Direct tire slip ratio estimation using intelligent tire system and machine learning algorithms
Accurate estimation of the tire slip ratio is critical for vehicle safety, as it is necessary for
vehicle control purposes. In this paper, an intelligent tire system is presented to develop a …
vehicle control purposes. In this paper, an intelligent tire system is presented to develop a …
Tire condition monitoring and intelligent tires using nanogenerators based on piezoelectric, electromagnetic, and triboelectric effects
H Askari, E Hashemi, A Khajepour… - Advanced Materials …, 2019 - Wiley Online Library
The quest to utilize intelligent tires has prompted substantial multidisciplinary research
including vehicle dynamics, control, estimation, energy harvesting, and even …
including vehicle dynamics, control, estimation, energy harvesting, and even …