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Advanced Sensing Techniques for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)
This special issue belongs to the section “Electronic Sensors“.
Special Issue Information
Dear Colleagues,
Several systems are essential to autonomous vehicles, including localization, navigation, and obstacle avoidance systems. To be able to implement all of these systems, autonomous vehicles must be equipped with a multitude of sensors (GPS, inertial measurement units (IMUs), radars, cameras, LiDARs, etc.). All of these systems require the development of techniques that extract the relevant information as efficiently as possible. This Special Issue focuses on exploring these techniques for the purpose of their application in autonomous vehicles or advanced driving assistance systems (ADAS). Topics include, but are not limited, to:
- inertial measurement units;
- artificial vision;
- accurate localization;
- mapping;
- simultaneous localization and mapping (SLAM);
- LiDAR odometry;
- navigation;
- sensor fusion.
Prof. Dr. Javier Alonso Ruiz
Prof. Dr. Iván García Daza
Dr. Carlota Salinas
Dr. Rubén Izquierdo
Guest Editors
Manuscript Submission Information
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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 2600 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.
Keywords
- Accurate localization
- Mapping
- LiDAR odometry
- Navigation
- Sensor fusion
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