InfraParis: A multi-modal and multi-task autonomous driving dataset
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Abstract (arXiv)
Current deep neural networks (DNNs) for autonomous driving computer vision are typically trained on specific datasets that only involve a single type of data and urban scenes. Consequently, these models struggle to handle new objects, noise, nighttime conditions, and diverse scenarios, which is essential for safety-critical applications. Despite ongoing efforts to enhance the resilience of computer vision DNNs, progress has been sluggish, partly due to the absence of benchmarks featuring multiple modalities. We introduce a novel and versatile dataset named InfraParis that supports multiple tasks across three modalities: RGB, depth, and infrared. We assess various state-of-the-art baseline techniques, encompassing models for the tasks of semantic segmentation, object detection, and depth estimation. More visualizations and the download link for InfraParis are available at hrefhttps://ensta-u2is.github.io/infraParis/https://ensta-u2is.github.io/infraParis/.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 34 of its 51 references that are in the map. First posted on arXiv 27 Sep 2023.
Builds on
34 of 51 references.
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Citing papers per year: 2024: 4; 2025: 4; 2026: 4.
12 papers.
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertaintycited by 32
- 2024Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perceptioncited by 14
- 2024Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentationcited by 6
- 2025SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systemscited by 4
- 2025RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditionscited by 3
- 2025Learning to Match Unpaired Data with Minimum Entropy Couplingcited by 2
- 2024IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Taskscited by 1
- 2025Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentationcited by 0
- 2026No Calibration, No Depth, No Problem: Cross-Sensor View Synthesis with 3D Consistencycited by 0
- 2026Unified Restoration-Perception Learning: Maritime Infrared-Visible Image Fusion and Segmentationcited by 0
- 2026Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmarkcited by 0
- 2026Descriptor: LYNRED Mobility Dataset Multimodal Detection Subset (LYNRED-MDS)cited by 0
- 2026Descriptor: LYNRED Mobility Dataset Multimodal Detection Subset (LYNRED-MDS)2 Jul 2026
- 2026Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark30 Apr 2026
- 2026Unified Restoration-Perception Learning: Maritime Infrared-Visible Image Fusion and Segmentation30 Mar 2026
- 2026No Calibration, No Depth, No Problem: Cross-Sensor View Synthesis with 3D Consistency27 Feb 2026
- 2025Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation11 May 2025
- 2025SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems22 Apr 2025
- 2025RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions10 Apr 2025
- 2025Learning to Match Unpaired Data with Minimum Entropy Coupling11 Mar 2025
- 2024Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation26 Nov 2024
- 2024IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Tasks28 Oct 2024
- 2024Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception24 Jan 2024
- 2024MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty23 Jan 2024