Multi-Sensor Fusion for Autonomous Vehicles and Driver Assistance Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 1 July 2026 | Viewed by 9
Special Issue Editor
Interests: accurate mapping systems based on optimal optimization algorithms; advanced driver assistance systems; assistive intelligent vehicles; driver and road user state and intent recognition; dynamic and cinematic car models; intelligent localization systems based on LiDAR odometry; intelligent navigation and localization systems based on inertial navigation systems; intelligent-vehicle-related image, radar, and LiDAR signal processing; sensor fusion systems for driverless cars
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-sensor fusion is a crucial technique for safe and efficient autonomous vehicles and advanced driver assistance systems. It integrates data from various sensors, such as LiDAR, radar, cameras, GPS, and ultrasonic sensors, to create a more accurate understanding of the vehicle’s environment, location, and movement. Each sensor has its strengths and limitations; for instance, cameras provide visual information but struggle in poor lighting conditions, while radar works fine in adverse weather but lacks when it comes to detailed information. By combining data from multiple sources, sensor fusion addresses these shortcomings, improving perception, object detection, tracking, and control, and behavioural decision-making.
In autonomous vehicles, sensor fusion supports real-time situational awareness and precise localisation, essential for navigation and collision avoidance. In ADAS applications, it powers features like adaptive cruise control, lane-keeping assistance, and emergency braking. Advanced algorithms, often based on probabilistic algorithms such as Kalman filters or deep neural networks, are used to process and fuse sensor data efficiently.
This Special Issue explores novel techniques in multi-sensor fusion and AI for high-precision localisation, enhanced environmental understanding, and robust behavioural decision-making. Through the harnessing of these technologies, intelligent transportation systems can be developed, pushing the boundaries of safety, reliability, and autonomy on the road.
Dr. Iván García Daza
Guest Editor
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 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 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
- sensor fusion
- autonomous vehicles
- LiDAR
- perception
- machine learning
- localisation
- behavioural decision-making
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.