An efficient domain-incremental learning approach to drive in all weather conditions
Although deep neural networks enable impressive visual perception performance for
autonomous driving, their robustness to varying weather conditions still requires attention …
autonomous driving, their robustness to varying weather conditions still requires attention …
Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
safe driving of autonomous vehicles. Haze has seriously affected the performance of traffic …