Special Issue "LiDAR for Autonomous Vehicles"
Deadline for manuscript submissions: 30 May 2020.
Interests: GNC of space systems; spacecraft relative navigation; pose determination; electro-optical sensors; LIDAR; star tracker; GNSS
Interests: spacecraft relative navigation; pose determination; electro-optical sensors; LIDAR; star tracker; unmanned aerial vehicles; autonomous navigation; sense and avoid
Special Issues and Collections in MDPI journals
LiDAR systems represent a key technology to enhance the capabilities of future autonomous vehicles in terms of navigation and situational awareness. Indeed, significant advancements are needed by terrestrial, marine, aerial, and space vehicles to meet the levels of safety and performance required within present and future application scenarios.
Self-driving cars, boats, and drones are expected to rely on LIDAR to enable autonomous and safe navigation, especially in GNSS-denied (e.g., indoor, underground, underwater) and GNSS-challenging (e.g., natural and urban canyon) areas. This task requires the development of accurate and robust localization algorithms, e.g., based on the concepts of odometry, and simultaneous localization and mapping. These approaches will exploit either LIDAR alone, or the integration of multiple sensors (e.g., inertial, cameras, radars), taking advantage of sensor fusion or cross-sensor cueing strategies. Regarding situational awareness, LIDAR can be used on board autonomous vehicle for detection and avoidance of static and moving obstacles, and for monitoring/inspecting infrastructures like roads, pipelines, and powerlines. These systems can also assist precision agriculture applications (especially on board autonomous aerial vehicles) by mapping water flow and catchments, monitoring erosion and soil loss, providing 3D models of crops, forestry, and vegetation.
LIDARs play a key role also in the space domain. On one side, mission scenarios such as on-orbit servicing and active debris removal, which require an autonomous spacecraft (chaser) to safely perform maneuvers (such as rendezvous and docking) in close proximity with respect to uncooperative space targets, can rely on LIDAR to provide accurate estimates of the target-chaser relative state. This task requires advanced pose determination algorithms as well as robust relative navigation architectures. On the other side, LIDAR-based navigation systems are important for future deep space exploration scenarios, e.g., during precise descent and landing operations on planets, comets or asteroids. In this framework, advanced algorithmic solutions shall be developed for both navigation, and hazard detection and avoidance (landing site selection).
Hence, this Special Issue welcomes original research contributions and state-of-the-art reviews, from academia and industry, regarding the use of LIDAR technologies on board autonomous vehicles. In addition to state-of-the-art LIDARs (e.g., scanning and flash LIDAR), innovative solutions based on the use of solid-state technologies are also welcome. The Special Issue topics include but are not limited to:
- Autonomous navigation solutions (e.g., odometry, simultaneous localization, and mapping);
- Autonomous detect and avoid (e.g., for static or moving obstacles);
- Infrastructure (e.g., powerlines, pipelines, roads) inspection and monitoring;
- 3D mapping;
- Precision agriculture (e.g., canopy height estimation, erosion, and soil loss monitoring);
- Spacecraft relative navigation and pose determination;
- Autonomous navigation and situational awareness in deep space exploration scenarios (e.g., hazard detection and precise landing).
Prof. Michele Grassi
Prof. Roberto Opromolla
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.
- Scanning, flash and solid-state LIDARs for autonomous vehicles
- Unmanned ground vehicles (UGV)
- Unmanned surface vehicles (USV)
- Unmanned aerial vehicles (UAV)
- Localization by odometry
- Localization by simultaneous localization and mapping
- Obstacle detection and avoidance
- Infrastructure inspection and monitoring
- 3D mapping
- Precision agriculture
- Spacecraft relative navigation and pose determination
- Planetary landing
- Hazard detection