Vehicle State Estimation and Localization for Autonomous and Connected Vehicles

Dear Colleagues,

In recent years, several companies and research groups have investigated autonomous and connected vehicles to improve the safety, efficiency, and comfort of road users. To operate autonomous and connected vehicles, a vehicle-state estimator is necessary to estimate their own state (e.g., motion, orientation, behavior, and trajectory), as well as the states of other vehicles. Localization can be part of the state estimator which estimates the vehicle pose (position and orientation). The estimator obtains the vehicle state estimates using information from onboard sensors (LiDAR, radar, camera, GPS, IMU, etc.) and communications (in-vehicle networks, wireless networks, etc.) through various theoretical approaches (Bayesian filtering, optimization, machine learning, etc.).
This Special Issue focuses on vehicle-state estimation and localization for connected and autonomous vehicles. We welcome original research contributions and state-of-the-art reviews from academia and industry. The Special Issue topics include but are not limited to:

• Vehicle state estimation (e.g., dynamic state, intention, and behavior estimation);
• State estimation of other vehicles (e.g., object detection, recognition and tracking, intention and behavior prediction);
• Vehicle localization (e.g., odometry, mapping, SLAM, high definition (HD) map);
• Sensor-based state estimation and localization (e.g., LiDAR, radar, camera, GPS, IMU);
• Communication-based state estimation and localization (e.g., in-vehicle networks, wireless networks);
• Theoretical methods for state estimation and localization (e.g., Bayesian filtering, graph-based optimization, machine learning).

Prof. Dr. Kichun Jo
Prof. Dr. Myoungho Sunwoo
Guest Editors

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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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.