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Intelligent Detection for Tunnel Shotcrete Spray Using Deep Learning and LiDAR

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Evaluation of 3D Vulnerable Objects’ Detection Using a Multi-Sensors System for Autonomous Vehicles

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A Survey of 3D Point Cloud and Deep Learning-Based Approaches for Scene Understanding in Autonomous Driving

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CALNet: LiDAR-Camera Online Calibration With Channel Attention and Liquid Time-Constant Network

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RoadSegNet: a deep learning framework for autonomous urban road detection

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Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches

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LIDAR Scanning as an Advanced Technology in Physical Hydraulic Modelling: The Stilling Basin Example

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DAPnet: A Double Self-Attention Convolutional Network for Point Cloud Semantic Labeling

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Enhancing Object Detection in Adverse Weather Conditions Through Entropy and Guided Multimodal Fusion

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Cross-Domain Few-Shot Micro-Expression Recognition Incorporating Action Units

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Sensor Fusion for Aircraft Detection at Airport Ramps Using Conditional Random Fields

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New Vehicle Classification Method Based on Hybrid Classifiers

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Smart Building Surveillance System as Shared Sensory System for Localization of AGVs

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A review of research on vehicle detection in adverse weather environments

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Target Detection for Construction Machinery Based on Deep Learning and Multisource Data Fusion

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Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception

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Multi-DisNet: Machine Learning-Based Object Distance Estimation from Multiple Cameras

Abdul, H. M., Ristić–Durrant, D., Gräser, A., Banić, M., & Stamenković, D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-34995-0_41 · Cited by 13

Point Cloud Compression: Impact on Object Detection in Outdoor Contexts

Garrote, L., Perdiz, J., Cruz, L. A. D. S., & Nunes, U. (2022) · Sensors · doi:10.3390/s22155767 · Cited by 12

Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention Mechanism

Hazarika, A., Vyas, A., Rahmati, M., & Wang, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3288112 · Cited by 14

RGB-D Object Classification for Autonomous Driving Perception

Premebida, C., Melotti, G., & Asvadi, A. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-28603-3_17 · Cited by 12

Multimodal Multi-Sensor Camera-LiDAR Fusion for 3D Object Detection in Autonomous Vehicles

Lamichhane, B. R., Horanont, T., Srijuntongsiri, G., Niamla-ong, N., Somset, N., & Sen, C. S. (2025) · International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) · doi:10.1109/isai-nlp66160.2025.11320775

LiDAR-camera fusion for multi-modal 3D object detection

Liu, C., Yang, H., Kao, W., & Bai, J. (2023) · International Conference on Advanced Algorithms and Neural Networks (AANN) · doi:10.1117/12.3004702

Deep learning multi-modal fusion based 3D object detection

Zhang, H. (2023) · theses.fr (ABES) · doi:10.70675/b9b489ffz335dz4ff4zbb03z08b285d48435

UVFusion: A Unified Framework for Voxel-Aligned LiDAR–Camera Fusion in 3-D Object Detection

Liu, A., Wang, J., Chen, J. F., & Meng, Z. (2026) · IEEE Sensors Journal · doi:10.1109/jsen.2026.3689658

3D Vehicle Detection Algorithm Based on Multimodal Decision-Level Fusion

Shi, P., Qi, H., Liu, Z.-Q., & Yang, A. (2022) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.022304 · Cited by 2