An efficient domain-incremental learning approach to drive in all weather conditions

MJ Mirza, M Masana, H Possegger… - Proceedings of the …, 2022 - openaccess.thecvf.com
Although deep neural networks enable impressive visual perception performance for
autonomous driving, their robustness to varying weather conditions still requires attention …

Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines

S Zhao, L Zhang, S Huang, Y Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
On benchmark images, modern dehazing methods are able to achieve very comparable
results whose differences are too subtle for people to qualitatively judge. Thus, it is …

I had a bad day: Challenges of object detection in bad visibility conditions

T Rothmeier, D Wachtel… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Automated vehicles must be able to correctly perceive the environment in every conceivable
situation with the help of their sensor stack. The resulting data streams are typically …

Fog classification by their droplet size distributions: Application to the characterization of Cerema's platform

P Duthon, M Colomb, F Bernardin - Atmosphere, 2020 - mdpi.com
Fog is one of major challenges for transportation systems. The automation of the latter is
based on perception sensors that can be disrupted by atmospheric conditions. As fog …

[PDF][PDF] 散射成像研究现状及展望

金欣, 王枭宇, 杜东宇, 范逸辉, 季向阳 - Laser & Optoelectronics …, 2021 - researching.cn
摘要散射介质广泛存在于自然界中, 透过散射介质成像在医学, 自动驾驶, 国家安全等领域具有
重要的科学意义和应用价值. 简要综述了散射成像技术的发展, 从弹道光和散射光的角度出发 …

Autonomous driving in the real-world: The weather challenge in the Sohjoa Baltic project

M Bellone, A Ismailogullari, J Müür, O Nissin… - Towards connected and …, 2021 - Springer
Autonomous driving is becoming increasingly popular worldwide. Currently, there is a high
number of successful use cases and pilot projects around the world, but the market solutions …

A novel method for simulation-based testing and validation of automotive surround sensors under adverse weather conditions/submitted by Sinan Hasirlioglu

S Hasirlioglu - 2020 - epub.jku.at
Die Ausrüstung von Fahrzeugen mit Fahrautomatisierungssystemen hat das Ziel, den
Fahrkomfort zu erhöhen und den Menschen, der für die meisten Unfälle verantwortlich ist …

Zeroscatter: Domain transfer for long distance imaging and vision through scattering media

Z Shi, E Tseng, M Bijelic, W Ritter… - Proceedings of the …, 2021 - openaccess.thecvf.com
Adverse weather conditions, including snow, rain, and fog, pose a major challenge for both
human and computer vision. Handling these environmental conditions is essential for safe …

Lidar-based weather detection: Automotive lidar sensors in adverse weather conditions

RK Heinzler - 2022 - publikationen.bibliothek.kit.edu
Technologische Verbesserungen erhöhen den Automatisierungsgrad von Fahrzeugen. Der
natürliche Schritt ist dabei, den Fahrer dort zu unterstützen, wo er es am meisten wünscht …

End-to-end dehazing of traffic sign images using reformulated atmospheric scattering model

R Song, Z Liu, C Wang - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
As an advanced machine vision task, traffic sign recognition is of great significance to the
safe driving of autonomous vehicles. Haze has seriously affected the performance of traffic …