Sensor Fusion 3D Object Recognition and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 189
Special Issue Editors
Interests: computer vision; deep learning; 3D object recognition; mapping; navigation; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: mobile robotics; 3D object recognition; HCI; intelligent systems
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; machine learning; deep learning
Special Issue Information
Dear Colleagues,
3D object recognition has become a cornerstone of numerous application domains such as autonomous driving, mobile robotics, industrial automation and virtual reality. While individual sensors provide valuable information, each modality has inherent limitations related to noise, occlusions, resolution, or environmental conditions. Sensor fusion has therefore emerged as a key paradigm to overcome these challenges by combining complementary information from multiple sources to achieve more robust, accurate and reliable 3D perception systems.
Recent advances in deep learning and geometric modeling have significantly boosted the performance of 3D object recognition methods. At the same time, there are open challenges related to scalability, real-time performance, generalization, interpretability and robustness in dynamic and unstructured environments. The fusion of multimodal sensor data plays a crucial role in addressing these challenges, enabling systems to operate under adverse conditions, reduce uncertainty and enhance decision-making.
This Special Issue aims to present and disseminate the most recent advances in sensor fusion methodologies for 3D object recognition and their practical applications. We welcome original research articles and comprehensive reviews that address theoretical developments, algorithmic innovations, system-level integrations and real-world deployments. Contributions may focus on novel fusion strategies, learning-based or model-based approaches, benchmark datasets, performance evaluation, or application-driven studies that demonstrate the benefits of multimodal 3D perception.
Topics of interest for publication include, but are not limited to, the following:
- Multimodal sensor fusion for 3D object detection, recognition and tracking
- Fusion of LiDAR, RGB, depth, radar and inertial data
- Learning-based methods for 3D perception and sensor fusion
- Geometric and probabilistic approaches to 3D object recognition
- Robust 3D perception in challenging environments.
- Real-time and embedded implementations of fusion-based 3D recognition systems
- Datasets, benchmarks and evaluation methodologies for multimodal 3D perception
- Applications in robotics, autonomous vehicles, industrial inspection and VR.
Dr. Félix Escalona Moncholí
Dr. Francisco Gomez-Donoso
Dr. Edmanuel Cruz
Dr. Jose Carlos Rangel Ortiz
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-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
- 3D object recognition
- sensor fusion
- 3D perception
- rgbd data
- deep learning
- multimodal
- robotics
- autonomous vehicles
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.
