Advances in Navigation and Control of Autonomous Vehicles
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 5473
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Special Issue Editors
Interests: vehicle dynamics and control; driver model; automated driving
Interests: vehicle dynamics and control; automotive powertrain design and optimization; clean energy vehicles; connected and automated vehicles; multi-agent control
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle dynamics and control; connected and automated vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the past five years, we have witnessed the rapid development of autonomous driving. Indeed, new cars equipped with SAE Level 1–2 automation functions have accounted for about 20% of the new car market. Several OEMs have launched the automated navigation function for highway driving, while the more challenging urban self-navigated driving function has become a hot topic in the last two years.
However, this field still faces many unsolved problems of safe navigation and control in complex environments. Typical challenges include unprotected left turns in dense traffic, ramp merging to a busy lane, automous driving in unstructured environments, time-efficient parking in a small space, safe and reliable motion control on poorly built or even unpaved surfaces, interactive driving with other manually or automatically driven vehicles, etc.
We believe that only by solving these problems can we truly achieve reliable and trustworthy autonomous driving vehicles. This Special Issue will be dedicated to new advances in the navigation and control of autonomous vehicles.
This Special Issue will focus not only on new methods and algorithms of navigation and control, but also their implementation and validation in important applications.
Dr. Daofei Li
Dr. Weichao Zhuang
Dr. Yafei Wang
Prof. Dr. Duanfeng Chu
Guest Editors
Manuscript Submission Information
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Keywords
- sensing, localization and mapping, perception, prediction of driving environment
- navigation, decision-making, behavioral planning, motion planning
- path tracking, vehicle motion control for longitudinal, lateral and vertical dynamics
- connectivity-assisted driving intelligence, e.g., vehicle-to-everything (V2X)
- AI applications in autonomous driving, machine/deep learning, reinforcement learning
- implementation, test, and validation for autonomous vehicles
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