Multimodal vehicle detection: fusing 3D-LIDAR and color camera data

ImageNet classification with deep convolutional neural networks

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You Only Look Once: Unified, Real-Time Object Detection

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Histograms of Oriented Gradients for Human Detection

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YOLO9000: Better, Faster, Stronger

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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Automated Driving Safety Framework through Security Architecture - Survey

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A Review of Point Clouds Deep Learning Fusion for Unmanned Aerial Data Systems

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Three-Dimensional Contour Detection Method Based on Fusion of Machine Vision and Laser RadarPreprint

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Acoustic Echo Estimation using the model-based approach with Application to Spatial Map Construction in Robotics

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Multi-Sensor Scene Segmentation

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Robust Classification and 6D Pose Estimation by Sensor Dual Fusion of Image and Point Cloud Data

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Autonomous Vehicle Systems in Intelligent Interconnected Transportation Networks

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Semantic Segmentation of Point Clouds and Images for Autonomous Vehicles: Trends, Challenges, and OpportunitiesPreprint

Munia, A. A., Kunjumon, R., Khosravi, A., Hossain, I., & Rahman, A. (2024) · doi:10.36227/techrxiv.171441584.45776959/v1

Research on multi-source data fusion target detection algorithm based on adaptive multi-scale and dynamic feature extractionPreprint

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Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception

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Road vehicle object detection based on improved YOLOv8

Zhao, Z. (2024) · International Signal Processing, Communications and Engineering Management Conference (ISPCEM) · doi:10.1109/ispcem64498.2024.00074

Dual Fusion Robustness Framework with Re-weighting Attention based on Multi-source Data Fusion for Space Non-cooperative Target

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The Vehicle Object Detection Algorithm Based on Improved YOLOv8

Yu, D., Ouyang, Y., Wang, Y., & Yuan, Z. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-3965-6_1

Hardware-based LiDAR and imaging fusion sensing system

Wang, Y., Zheng, R., & Wu, G. (2025) · Optics Express · doi:10.1364/oe.577247

A Multidimensional Information Calibration Method for Spiral Bevel Gears

Dong, H., Zhou, H., Chen, L., & Tang, J. (2026) · Lecture notes in mechanical engineering · doi:10.1007/978-981-95-3646-7_29

Robust 3D LIDAR Point Cloud Registration Using Uncertainty-Aware Generalized Iterative Closest Point with Voxel-Based Efficiency

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Multi-modal Artificial Intelligence SystemsPreprint

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ShellNet++: A Dynamic Shell Convolution-Based Framework for LIDAR Point Cloud Pedestrian Detection

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Design and Analysis of Supersonic Airliners Avionics System Abroad

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3DA-net: a dual-attention-based network integrating global and local context for enhanced 3D object detection

Soumya, A., Cenkeramaddi, L. R., & Krishna Mohan, C. (2026) · Applied Intelligence · doi:10.1007/s10489-026-07190-5

Évaluation de systèmes d'aide à la conduite. Génération automatique de vérité terrain augmentée à partir d’un capteur haute résolution et d’une cartographie sémantique et 3D ; Evaluation de fonctions de perception tierces

Defraiteur, R. (2021) · doi:10.70675/30f7e4f4z7ef9z4280zbcb2z686f0ef96d76

DGNNF: Dynamic Graph Neural Network Fusion for 3D object detection

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Reliability-Aware Fusion for Semantic Segmentation under Sensor Degradation and Failures

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FusionOptics: Optical-visual fusion framework for high-speed railway perimeter intrusion detection

Hu, J., Zhu, L., Zou, H., Wang, K., Zhai, W., Chen, Z., Guo, B., & Yu, Z. (2026) · Optics & Laser Technology · doi:10.1016/j.optlastec.2026.116343

YOLOv8-Enhanced 3D Object Detection of Automotive Targets Using LiDAR Data

Susrith, M., Varma, P. S., & Kumar, T. B. S. S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-30963-1_25

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