Pierre Duthon

Orcid: 0000-0002-6705-1131

According to our database1, Pierre Duthon authored at least 18 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Style-Based Neural Architectures for Real-Time Weather Classification.
CoRR, April, 2026

Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance.
CoRR, April, 2026

Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection.
CoRR, April, 2026

2025
Rain Reflectivity Distribution and Detectability in Automotive Radar.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Would SWIR Modality Help for Detection and Segmentation in Harsh Weather Conditions? An Experimental Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
A Comparative Review of the SWEET Simulator: Theoretical Verification Against Other Simulators.
J. Imaging, 2024

REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study.
Sensors, March, 2023

Qualification of the PAVIN Fog and Rain Platform and Its Digital Twin for the Evaluation of a Pedestrian Detector in Fog.
J. Imaging, 2023

SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions.
J. Imaging, 2023

2022
Analysis of Thermal Imaging Performance under Extreme Foggy Conditions: Applications to Autonomous Driving.
J. Imaging, 2022

2021
What Happens for a ToF LiDAR in Fog?
IEEE Trans. Intell. Transp. Syst., 2021

3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions.
Sensors, 2021

Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection.
CoRR, 2021

2019
Spectral reflectance characterization of the road environment to optimize the choice of autonomous vehicle sensors.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Benchmark for the robustness of image features in rainy conditions.
Mach. Vis. Appl., 2018

Baselines and a datasheet for the Cerema AWP dataset.
CoRR, 2018

Automotive LiDAR performance verification in fog and rain.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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