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Volumn , Issue , 2009, Pages 18-23

Exploiting LIDAR-based features on pedestrian detection in urban scenarios

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TECHNIQUE; CRITICAL ISSUES; DATA SETS; DETAILED CLASSIFICATION; DETECTION MODULES; INTELLIGENT VEHICLES; LIDAR SENSORS; MULTI SENSOR; OBJECT CLASSIFICATION; PEDESTRIAN DETECTION; PEDESTRIAN DETECTION SYSTEM; PERCEPTION SYSTEMS; RELIABLE DETECTION; ROAD USERS; URBAN ZONES; VISION SENSORS; VISION-BASED SYSTEM;

EID: 72449135795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2009.5309697     Document Type: Conference Paper
Times cited : (70)

References (16)
  • 5
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    • Model based object classification and object tracking in traffic scenes from range images
    • Tokyo, Japan
    • K. Dietmayer, J. Sparbert, and D. Streller. Model based object classification and object tracking in traffic scenes from range images. In Intelligent Vehicles Symposium, IVS. IEEE, Tokyo, Japan 2001.
    • (2001) Intelligent Vehicles Symposium, IVS. IEEE
    • Dietmayer, K.1    Sparbert, J.2    Streller, D.3
  • 6
    • 4544222566 scopus 로고    scopus 로고
    • Object tracking and classification using a multiple hypothesis approach
    • June
    • D. Streller and K. Dietmayer. Object tracking and classification using a multiple hypothesis approach. In Intelligent Vehicles Symposium, IVS. IEEE, pages 808-812, June 2004.
    • (2004) Intelligent Vehicles Symposium, IVS. IEEE , pp. 808-812
    • Streller, D.1    Dietmayer, K.2
  • 9
    • 70449347276 scopus 로고    scopus 로고
    • Lidar and vision-based pedestrian detection system
    • Cristiano Premebida, Oswaldo Ludwig, and Urbano Nunes. Lidar and vision-based pedestrian detection system. Journal of Field Robotics, 26(9), 2009.
    • (2009) Journal of Field Robotics , vol.26 , Issue.9
    • Premebida, C.1    Ludwig, O.2    Nunes, U.3
  • 10
    • 51349093354 scopus 로고    scopus 로고
    • B. Douillard, D. Fox, and F. Ramos. A spatio-temporal probabilistic model for multi-sensor object recognition. In Intelligent Robots and Systems, IROS. IEEE/RSJ International Conference on, pages 2402-2408, 29 2007-Nov. 2 2007.
    • B. Douillard, D. Fox, and F. Ramos. A spatio-temporal probabilistic model for multi-sensor object recognition. In Intelligent Robots and Systems, IROS. IEEE/RSJ International Conference on, pages 2402-2408, 29 2007-Nov. 2 2007.
  • 11
  • 12
    • 0037206232 scopus 로고    scopus 로고
    • Simultaneous localization and map building using natural features and absolute information
    • Jose E. Guivant, Favio R. Masson, and Eduardo M. Nebot. Simultaneous localization and map building using natural features and absolute information. Robotics and Autonomous Systems, 40(2-3):79 - 90, 2002.
    • (2002) Robotics and Autonomous Systems , vol.40 , Issue.2-3 , pp. 79-90
    • Guivant, J.E.1    Masson, F.R.2    Nebot, E.M.3
  • 13
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • Aug
    • Hanchuan Peng, Fuhui Long, and C. Ding. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(8):1226-1238, Aug. 2005.
    • (2005) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.