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  3. Multi-Modal Sensor Fusion using Hybrid Attention for Autonom
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Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving

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Evidence fresh

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Freshness: 2026-04-07T20:11:16.690973+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving

PDF: https://arxiv.org/pdf/2604.04797v1

Source count: 0

Coverage: 0%

Last proof check: 2026-04-07T20:11:16.690Z

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Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving

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Last verification: 2026-04-07T20:11:16.690Z

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Prior Work
R4Det: 4D Radar-Camera Fusion for High-Performance 3D Object Detection
Score 7.0stable
Prior Work
RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
Score 7.0stable
Prior Work
4DRC-OCC: Robust Semantic Occupancy Prediction Through Fusion of 4D Radar and Camera
Score 7.0stable
Prior Work
Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation
Score 7.0stable
Prior Work
Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
Score 7.0stable
Prior Work
Post Fusion Bird's Eye View Feature Stabilization for Robust Multimodal 3D Detection
Score 7.0stable
Prior Work
Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection
Score 7.0stable
Prior Work
DRIFT: Dual-Representation Inter-Fusion Transformer for Automated Driving Perception with 4D Radar Point Clouds
Score 7.0stable

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Related Resources

  • How can generative adversarial networks (GANs) be used to augment training data for autonomous driving perception models?(question)
  • What are the limitations of current autonomous driving perception systems in understanding human intent?(question)
  • What are the advantages of using event cameras for autonomous driving perception in high-speed scenarios?(question)

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