The paper presents a method and evaluation results to monitor and detect road conditions (ice, water, snow and dry asphalt). The developed device bases on light polarization changes when reflected from road surface. The recognition capability has been improved with texture analysis which estimates contrast content of an image. Test drives were performed with a vehicle quipped also with a commercial solution from Vaisala which was used as the reference sensor. The results show that the proposed solution does not currently adapt to different conditions perfectly well. Therefore, further development targets have been identified to include not only more adjustable classifier but externally lighting to stabilizing ambient illumination
Road surface meteorological conditions are very important for traffic safety. According to the stati...
Common measurement principles involve in situ measurements, where sensors are embedded in the road s...
International audienceRoad scene analysis is a fundamental task for both autonomous vehicles and ADA...
This paper presents experimental results regarding road condition monitoring by machine vision techn...
Road friction measurement is an important issue for active safety systems on vehicles; hence knowled...
In order to classify the road condition, dry asphalt and asphalt covered with water, ice and snow a ...
Road surface conditions vary with snow, ice, wet and dry during the four seasons in Korea. The chang...
Municipalities and contractors in Canada and other parts of the world rely on road surface conditio...
This paper describes the preliminary results for detecting slippery road conditions. The detector wi...
There is a great need to develop systems that can continuously provide correct information about roa...
Statistics shows that most traffic accidents with fatal outcome can be related to slippery road cond...
We introduce and test an original approach for the optical assessment of road conditions due to vari...
It has been shown that in most accidents the driver is responsible due to being distracted or misjud...
"Introduced is an optical approach for the assessment of the road conditions due to various atmosphe...
With the booming development of road network and intelligent transportation systems, road surface co...
Road surface meteorological conditions are very important for traffic safety. According to the stati...
Common measurement principles involve in situ measurements, where sensors are embedded in the road s...
International audienceRoad scene analysis is a fundamental task for both autonomous vehicles and ADA...
This paper presents experimental results regarding road condition monitoring by machine vision techn...
Road friction measurement is an important issue for active safety systems on vehicles; hence knowled...
In order to classify the road condition, dry asphalt and asphalt covered with water, ice and snow a ...
Road surface conditions vary with snow, ice, wet and dry during the four seasons in Korea. The chang...
Municipalities and contractors in Canada and other parts of the world rely on road surface conditio...
This paper describes the preliminary results for detecting slippery road conditions. The detector wi...
There is a great need to develop systems that can continuously provide correct information about roa...
Statistics shows that most traffic accidents with fatal outcome can be related to slippery road cond...
We introduce and test an original approach for the optical assessment of road conditions due to vari...
It has been shown that in most accidents the driver is responsible due to being distracted or misjud...
"Introduced is an optical approach for the assessment of the road conditions due to various atmosphe...
With the booming development of road network and intelligent transportation systems, road surface co...
Road surface meteorological conditions are very important for traffic safety. According to the stati...
Common measurement principles involve in situ measurements, where sensors are embedded in the road s...
International audienceRoad scene analysis is a fundamental task for both autonomous vehicles and ADA...