Intelligent headlight control using learning-based approaches

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2011, Pages 722-727

  Li, Ying ^a   Haas, Norman ^a   Pankanti, Sharath ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING-BASED APPROACH; LOW BEAM; OFFLINE; PERFORMANCE STUDY; PROCESSING MODULES; TWO MACHINES; URBAN AREAS;

ADAPTIVE BOOSTING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS;

HEADLIGHTS;

EID: 79960791346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2011.5940541     Document Type: Conference Paper

References (6)

1. C. Schadel and D. Falb, "SmartBeam-A high-beam assist," Proc. of the 7th International Symposium on Automotive Lighting, Darmstadt, Germany, 2007.
2. Mobileye, "Adaptive headlight control," http://www.mobileye. com/default.asp?PageID=222.
3. Mercedes-Benz, "Mercedes-Benz TecDay special feature: New headlamp and night-view systems," http://www.emercedesbenz.com/Nov08/12 001504 Mercedes-Benz-TecDay-Special-Feature-New-Headlamp-And-Night-View-Systems.html, November 2008.
4. A. Lopez and et al., "Nighttime vehicle detection for intelligent headlight control," The 10th International Conference on Advanced Concepts for Intelligent Vision Systems, 2008.
5. C. C. Chang and C. J. Lin, "LIBSVM-A library for support vector machines," http://www.csie.ntu.edu.tw/ cjlin/libsvm.
6. J. Zhu, H. Zou, S. Rosset, and T. Hastie, "Multi-class adaboost," Statistics and Its Interface, vol. 2, pp. 349-360, 2009.