Supplementary material for our paper "Multiple Vehicle Fusion for a Robust Road Condition Estimation based on Vehicle Sensors and Data Mining, published in Cogent Engineering, Taylor & Francis Grou
"The capability to detect and\/or forecast traffic. conditions is of utmost importance in road manag...
This paper describes a multisensor data-fusion system for driving an autonomous earthwork vehicle op...
International audiencethe paper presents a fault-tolerant multi-sensor fusion approach with Fault De...
The road condition is an important factor for driving comfort and has impact on safety, economy and ...
The work provides novel methods to process inertial sensor and acoustic sensor data for road conditi...
The number and quality of sensors available for both on-board vehicle and infrastructure-based sensi...
Connected vehicles in intelligent transportation system (ITS) scenario rely on environmental data fo...
Different approaches may be used in order to estimate road friction. This paper describes the estima...
Data for Paper "Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehi...
This work presents a multi-sensor approach for weather condition estimation in automated vehicles. U...
Many applications exist for unmanned vehicles, factory maintenance, planetary exploration, in reacto...
A reference sensor system, consisting of a multilayer laser scanner and a stereo camera system, is ...
The aim of the thesis is to develop methods and algorithms for the development of a robust perceptio...
In this paper we argue why robust positioning in transportation applications is best achieved by mul...
Human error has been the most common cause of car accidents. Advances in sensing and data fusion hav...
"The capability to detect and\/or forecast traffic. conditions is of utmost importance in road manag...
This paper describes a multisensor data-fusion system for driving an autonomous earthwork vehicle op...
International audiencethe paper presents a fault-tolerant multi-sensor fusion approach with Fault De...
The road condition is an important factor for driving comfort and has impact on safety, economy and ...
The work provides novel methods to process inertial sensor and acoustic sensor data for road conditi...
The number and quality of sensors available for both on-board vehicle and infrastructure-based sensi...
Connected vehicles in intelligent transportation system (ITS) scenario rely on environmental data fo...
Different approaches may be used in order to estimate road friction. This paper describes the estima...
Data for Paper "Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehi...
This work presents a multi-sensor approach for weather condition estimation in automated vehicles. U...
Many applications exist for unmanned vehicles, factory maintenance, planetary exploration, in reacto...
A reference sensor system, consisting of a multilayer laser scanner and a stereo camera system, is ...
The aim of the thesis is to develop methods and algorithms for the development of a robust perceptio...
In this paper we argue why robust positioning in transportation applications is best achieved by mul...
Human error has been the most common cause of car accidents. Advances in sensing and data fusion hav...
"The capability to detect and\/or forecast traffic. conditions is of utmost importance in road manag...
This paper describes a multisensor data-fusion system for driving an autonomous earthwork vehicle op...
International audiencethe paper presents a fault-tolerant multi-sensor fusion approach with Fault De...