Hardware‐in‐the‐loop validation of an adaptive model predictive control on a connected and automated vehicle
Connected and automated vehicles will characterize the future of the mobility, featured by
Smart Roads and Internet of Things technologies. Vehicles will behave as mobile nodes of a …
Smart Roads and Internet of Things technologies. Vehicles will behave as mobile nodes of a …
Occlusion-aware motion planning with visibility maximization via active lateral position adjustment
As the operational domain of autonomous vehicles expands, encountering occlusions
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …
Reinforcement-learning-based decision and control for autonomous vehicle at two-way single-lane unsignalized intersection
Intersections have attracted wide attention owing to their complexity and high rate of traffic
accidents. In the process of developing L3-and-above autonomous-driving techniques, it is …
accidents. In the process of developing L3-and-above autonomous-driving techniques, it is …
Reliable, robust, and comprehensive risk assessment framework for urban autonomous driving
S Noh, K An - Journal of Computational Design and Engineering, 2022 - academic.oup.com
Urban autonomous driving is both complex and dangerous. A multitude of road types, road
users, and potential traffic rule violations all make it challenging for an autonomous vehicle …
users, and potential traffic rule violations all make it challenging for an autonomous vehicle …
Deadlock-free planner for occluded intersections using estimated visibility of hidden vehicles
A common approach used for planning blind intersection crossings is to assume that
hypothetical vehicles are approaching the intersection at a constant speed from the …
hypothetical vehicles are approaching the intersection at a constant speed from the …
Safety-aware vehicle-following driving optimization of intelligent and connected vehicle at signalized road intersection
The driving safety at signalized road intersections is a critical issue for intelligent and
connected vehicles (ICVs). Vehicle-following driving scenarios are common conditions at …
connected vehicles (ICVs). Vehicle-following driving scenarios are common conditions at …
A priority-based autonomous intersection management (AIM) scheme for connected automated vehicles (CAVs)
In this paper, we investigate the intersection traffic management for connected automated
vehicles (CAVs). In particular, a decentralized autonomous intersection management …
vehicles (CAVs). In particular, a decentralized autonomous intersection management …
Traffic efficiency and fairness optimisation for autonomous intersection management based on reinforcement learning
Autonomous Intersection Management (AIM) for high-level Connected and Automated
Vehicles (CAVs) has evolved from rule-based to optimisation-based policies. However, at …
Vehicles (CAVs) has evolved from rule-based to optimisation-based policies. However, at …
Path Tracking Control of Autonomous Vehicle Based on Nonlinear Tire Model
F Lin, M Sun, J Wu, C Qian - Actuators, 2021 - mdpi.com
The tire forces of vehicles will fall into the non-linear region under extreme handling
conditions, which cause poor path tracking performance. In this paper, a model predictive …
conditions, which cause poor path tracking performance. In this paper, a model predictive …
Distributed model predictive control of connected multi-vehicle systems at unsignalized intersections
This paper proposes a four-component framework for connected vehicles in general
scenarios, which consists of the following: 1) an information flow topology; 2) cooperative …
scenarios, which consists of the following: 1) an information flow topology; 2) cooperative …