Title : 
Traffic cone detection and localization in TechX Challenge 2013
         
        
            Author : 
Lubing Zhou ; Han Wang ; Danwei Wang ; Lihua Xie ; Keng Peng Tee
         
        
            Author_Institution : 
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
         
        
        
        
        
            Abstract : 
This paper presents the detection and localization methods of entrance and staircase markers for the team E-Mobile in TechX Challenge 2013. Autonomous vehicles are required to detect and locate traffic cones beside the indoor entrance and staircase. One big challenge is from the unpredictable lighting conditions and environment. Different practical techniques such as color space selection, segmentation, shape analysis, distance estimation, and detector training are combined to obtain good detection rate and localization accuracy. The proposed methods can achieve satisfactory performance in real-world experiments.
         
        
            Keywords : 
image colour analysis; image segmentation; mobile robots; object detection; robot vision; shape recognition; telerobotics; TechX Challenge 2013; autonomous vehicles; color space selection; detector training; distance estimation; entrance markers; segmentation; shape analysis; staircase markers; team E-Mobile; traffic cone detection; traffic cone localization; unpredictable lighting conditions; Accuracy; Detectors; Image color analysis; Lighting; Robots; Shape; Training; autonomous vehicle; object detection; object localization;
         
        
        
        
            Conference_Titel : 
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
         
        
        
            DOI : 
10.1109/ICARCV.2014.7064279