Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework

作者: Zhengping Ji , Matthew Luciw , Juyang Weng , Shuqing Zeng

DOI: 10.1109/TITS.2010.2094188

关键词: Unsupervised learningComputer visionArtificial intelligenceComputer scienceOnline machine learningCompetitive learningSemi-supervised learningMachine learningLearning classifier systemActive learning (machine learning)Robot learningWake-sleep algorithm

摘要: … In the proposed work, we take the advantage of radarvision integration to achieve an … know can meet them all: 1) a general radar-vision fusion framework with non-task-specific learning; …

参考文章(27)
Richard Bishop, Intelligent vehicle R&D: A review and contrast of programs worldwide and emerging trends Annales Des Télécommunications. ,vol. 60, pp. 228- 263 ,(2005) , 10.1007/BF03219820
J. Piao, M. McDonald, Advanced Driver Assistance Systems from Autonomous to Cooperative Approach Transport Reviews. ,vol. 28, pp. 659- 684 ,(2008) , 10.1080/01441640801987825
U. Hofmann, A. Rieder, E.D. Dickmanns, Radar and vision data fusion for hybrid adaptive cruise control on highways machine vision applications. ,vol. 14, pp. 42- 49 ,(2003) , 10.1007/S00138-002-0093-Y
C. Thorpe, M.H. Hebert, T. Kanade, S.A. Shafer, Vision and navigation for the Carnegie-Mellon Navlab IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 362- 372 ,(1988) , 10.1109/34.3900
Juyang Weng, Wey-Shiuan Hwang, Incremental Hierarchical Discriminant Regression IEEE Transactions on Neural Networks. ,vol. 18, pp. 397- 415 ,(2007) , 10.1109/TNN.2006.889942
D. H. Hubel, T. N. Wiesel, Receptive fields of single neurones in the cat's striate cortex The Journal of Physiology. ,vol. 148, pp. 574- 591 ,(1959) , 10.1113/JPHYSIOL.1959.SP006308
D. Langer, T. Jochem, Fusing radar and vision for detecting, classifying and avoiding roadway obstacles intelligent vehicles symposium. pp. 333- 338 ,(1996) , 10.1109/IVS.1996.566402
Tomaso Poggio, Gert Cauwenberghs, Incremental and Decremental Support Vector Machine Learning neural information processing systems. ,vol. 13, pp. 409- 415 ,(2000)
Ulrich Kadow, Georg Schneider, Alejandro Vukotich, Radar-Vision Based Vehicle Recognition with Evolutionary Optimized and Boosted Features ieee intelligent vehicles symposium. pp. 749- 754 ,(2007) , 10.1109/IVS.2007.4290206