A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
Extracting human-like driving behaviors from expert driver data using deep learning
This paper introduces a method to extract driving behaviors from a human expert driver
which are applied to an autonomous agent to reproduce proactive driving behaviors. Deep …
which are applied to an autonomous agent to reproduce proactive driving behaviors. Deep …
[PDF][PDF] 车路协同系统关键技术研究进展.
林泓熠， 刘洋， 李深， 曲小波 - Journal of South China University of …, 2023 - researchgate.net
随着城市汽车保有量的稳步增长, 道路交通拥堵问题日益凸显, 给城市发展带来了巨大压力.
为了有效应对这一挑战, 开发能够提高交通效率并降低能源消耗的方法显得至关重要 …
为了有效应对这一挑战, 开发能够提高交通效率并降低能源消耗的方法显得至关重要 …
Driving behavior modeling based on hidden markov models with driver's eye-gaze measurement and ego-vehicle localization
This paper presents a comparison of driving behavior modeling methods based on hidden
Markov models (HMMs) with driver's eye-gaze measurement and ego-vehicle localization …
Markov models (HMMs) with driver's eye-gaze measurement and ego-vehicle localization …
A novel driving behavior learning and visualization method with natural gaze prediction
G Yuan, Y Wang, J Peng, X Fu - IEEE Access, 2021 - ieeexplore.ieee.org
Driving behavior analysis is vital for the advanced driving assistance system, aiming to
improve driving behavior and decrease traffic accidents. Most existing driving behavior …
improve driving behavior and decrease traffic accidents. Most existing driving behavior …
Driving behavior modeling based on consistent variable selection in a PWARX model
JC Nwadiuto, H Okuda, T Suzuki - Applied Sciences, 2021 - mdpi.com
This paper proposes the hybrid system model identified by a PWARX (piecewise affine
autoregressive exogenous) model for modeling human driving behavior. In the proposed …
autoregressive exogenous) model for modeling human driving behavior. In the proposed …
Deep occupancy-predictive representations for autonomous driving
Manually specifying features that capture the diversity in traffic environments is impractical.
Consequently, learning-based agents cannot realize their full potential as neural motion …
Consequently, learning-based agents cannot realize their full potential as neural motion …
Driving in the Extreme: Sensing Drifting and the Expert Driver Response
IR Lima, J Santos-Victor - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Understanding the professional response to extreme driving events fosters the creation of
novel safety procedures for autonomous vehicles (AVs), capable of avoiding and handling …
novel safety procedures for autonomous vehicles (AVs), capable of avoiding and handling …
Ensuring Privacy and Communication Efficiency Through Partial Parameter Exchange in Collaborative Learning for Vehicular Applications
VB Saravanarajan, S Sridhar… - … Sea Conference on …, 2024 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) communication is vital for enhancing road safety, optimizing
traffic flow, and reducing environmental impact. With vehicle sensors generating enormous …
traffic flow, and reducing environmental impact. With vehicle sensors generating enormous …
Safety criteria analysis for negotiating blind corners in personal mobility vehicles based on driver's attention simulation on 3D map
In this study, we attempt to establish the numerical safety criteria for negotiating blind
corners in personal mobility vehicles (PMVs). Safety should be the most important …
corners in personal mobility vehicles (PMVs). Safety should be the most important …