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Computer Vision and Pattern Recognition, 2023
Image restoration under multiple adverse weather conditions aims to remove weather-related artifacts by using a single set of network parameters.
Yurui Zhu +7 more
semanticscholar +1 more source
Image restoration under multiple adverse weather conditions aims to remove weather-related artifacts by using a single set of network parameters.
Yurui Zhu +7 more
semanticscholar +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
LiDAR-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to adverse weather conditions such as rain, snow and fog due to reduced ...
Velat Kilic +5 more
semanticscholar +1 more source
LiDAR-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to adverse weather conditions such as rain, snow and fog due to reduced ...
Velat Kilic +5 more
semanticscholar +1 more source
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
Neural Information Processing Systems, 2022Unlike RGB cameras that use visible light bands (384$\sim$769 THz) and Lidars that use infrared bands (361$\sim$331 THz), Radars use relatively longer wavelength radio bands (77$\sim$81 GHz), resulting in robust measurements in adverse weathers ...
Dong-Hee Paek +2 more
semanticscholar +1 more source
A review of construction workforce health challenges and strategies in extreme weather conditions
International Journal of Occupational Safety and Ergonomics, 2022Construction sites continue to operate despite inclement weather, exposing workers to unpleasant working circumstances that can lead to various physical and mental health challenges.
Sanjgna Karthick +3 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2021
Adverse weather conditions such as fog, haze, snow, mist and glare create visibility problems for applications of autonomous vehicles. To ensure safe and smooth operations in frequent bad weather scenarios, image dehazing is crucial to any vehicular ...
A. Mehra +3 more
semanticscholar +1 more source
Adverse weather conditions such as fog, haze, snow, mist and glare create visibility problems for applications of autonomous vehicles. To ensure safe and smooth operations in frequent bad weather scenarios, image dehazing is crucial to any vehicular ...
A. Mehra +3 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2021
Radar and camera information fusion sensing methods are used to solve the inherent shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the main hardware and camera as the auxiliary hardware framework.
Ze Liu +6 more
semanticscholar +1 more source
Radar and camera information fusion sensing methods are used to solve the inherent shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the main hardware and camera as the auxiliary hardware framework.
Ze Liu +6 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2022
The LiDAR point cloud data and camera images are distorted to a different degree under various severe weather conditions. Due to this, the traditional single-modal object detection methods are unable to use the complementary information between different
Cheng Zhang +6 more
semanticscholar +1 more source
The LiDAR point cloud data and camera images are distorted to a different degree under various severe weather conditions. Due to this, the traditional single-modal object detection methods are unable to use the complementary information between different
Cheng Zhang +6 more
semanticscholar +1 more source
Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Most state-of-the-art object detection methods have achieved impressive perfomrace on several public benchmarks, which are trained with high definition images.
Hua Zhang +3 more
semanticscholar +1 more source
Weather Conditions and Spinal Patients
Spine, 2004A retrospective study.To evaluate the effects of various weather conditions on reported health status.Existing literature shows no definite conclusions regarding the effect of weather on patients with spinal pathology.Initial visit data from 23 American centers participating in the National Spine Network included demographic information and SF-36-based
John A, Glaser +2 more
openaire +2 more sources