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1	Deep Learning Metadata Fusion for Traffic Light to Lane Assignment Langenberg, Tristan Matthias 26 July 2019 (has links) No description available. 510 Convolutional Neural Networks Deep Fusion Intelligent Transportation Systems Robotics and Automation Traffic Light Assistance Informatik (PPN619939052)
2	A MULTI-HEAD ATTENTION APPROACH WITH COMPLEMENTARY MULTIMODAL FUSION FOR VEHICLE DETECTION Nujhat Tabassum (18010969) 03 June 2024 (has links) <p dir="ltr">In the realm of autonomous vehicle technology, the Multimodal Vehicle Detection Network (MVDNet) represents a significant leap forward, particularly in the challenging context of weather conditions. This paper focuses on the enhancement of MVDNet through the integration of a multi-head attention layer, aimed at refining its performance. The integrated multi-head attention layer in the MVDNet model is a pivotal modification, advancing the network's ability to process and fuse multimodal sensor information more efficiently. The paper validates the improved performance of MVDNet with multi-head attention through comprehensive testing, which includes a training dataset derived from the Oxford Radar Robotcar. The results clearly demonstrate that the Multi-Head MVDNet outperforms the other related conventional models, particularly in the Average Precision (AP) estimation, under challenging environmental conditions. The proposed Multi-Head MVDNet not only contributes significantly to the field of autonomous vehicle detection but also underscores the potential of sophisticated sensor fusion techniques in overcoming environmental limitations.</p> Electronic sensors Computer vision Multimodal analysis and synthesis Deep learning Neural networks Multi-head Attention Deep Learning Attention Neural Network Autonomous Vehicle Sensor Fusion CNN R-CNN Vehicle Detection Object Detection Deep Fusion Lidar Radar Vision Transformer (ViT)

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Deep Learning Metadata Fusion for Traffic Light to Lane Assignment

A MULTI-HEAD ATTENTION APPROACH WITH COMPLEMENTARY MULTIMODAL FUSION FOR VEHICLE DETECTION