Special Issue "Smooth Motion Planning for Autonomous Vehicles"
Deadline for manuscript submissions: 30 November 2020.
Interests: intelligent transportation systems (ITS); artificial intelligence; advanced driver assistance systems (ADAS); V2X communication
Interests: motion planning; decision-making systems; intelligent transportation systems (ITS); artificial intelligence
Interests: intelligent transportation systems (ITS); decision-making systems; control systems
Interest in autonomous vehicles has significantly increased in recent years—so much so, in fact, that most of the current activity in research and development work on intelligent transportation systems is focused on them. Although huge efforts have been carried out in last years to solve several technological challenges, however, some issues still remain that must be addressed before autonomous vehicles can be extensively deployed in any environment. Among the technologies involved in autonomous navigation, motion planning plays a key role in improving safety and comfort. With the aim of reaching human-level abstract reasoning and reacting safely in a large variety of environments, autonomous vehicles require motion planning methods to generalize unpredictable situations and reason in a timely manner. In addition to that, smooth behavior is also required to guarantee either the occupant’s comfort in autonomous passenger vehicles or a trade-off between efficiency and predictability in unmanned platforms.
The complexity of the scenarios also involves computationally intensive tasks for decision-making and planning methods. Taking into account the limited computational resources available in the on-board computers of a vehicle, which are shared among different tasks (e.g., perception, localization, control), the reduction on the computational resources needed for motion planning becomes critical. In this context, new advances in artificial intelligence and parallel computing can be applied to provide benefits on motion planning strategies.
The purpose of this Special Issue is to present and discuss major research challenges, latest developments, and recent advances on smooth motion planning algorithms applied to autonomous vehicles: underwater or surface vehicles, unmanned ground and aerial vehicles, on/off road vehicles, etc.
The Special Issue topics include but are not limited to the following:
- Novel path planning techniques for autonomous vehicles;
- Methods for smooth path and speed planning;
- Evolutionary algorithms for motion planning;
- Machine learning methods for motion planning;
- Motion planning via imitation learning;
- Methods combining smooth planning and control;
- Interplay between decision-making, behavior planning and motion planning;
- Human factors studies related to motion planning;
- Parallel computing for motion planning;
- Uncertainty management in motion planning;
- Motion planning applications.
Dr. Jorge Godoy
Dr. Antonio Artuñedo
Dr. Jorge Villagra
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Autonomous vehicles Connected vehicles
- Autonomous navigation
- Path planning
- Speed planning
- Smooth motion planning
- Motion planning
- Obstacle avoidance
- Maneuver planning
- Behavior planning
- Artificial intelligence for motion planning