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Volumn , Issue , 2017, Pages

Fast and low-power behavior analysis on vehicles using smartphones

Author keywords

algorithm optimization; Deep learning; drivers' behavior analysis

Indexed keywords

DEEP LEARNING; ENERGY UTILIZATION; LONG SHORT-TERM MEMORY; RECURRENT NEURAL NETWORKS; TELEPHONE SETS; VEHICLES;

EID: 85027146898     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISNE.2017.7968748     Document Type: Conference Paper
Times cited : (9)

References (18)
  • 8
    • 84938244177 scopus 로고    scopus 로고
    • Improved driver modeling for human-in-the-loop vehicular control[C]
    • Driggs-Campbell K, Shia V, Bajcsy R. Improved driver modeling for human-in-the-loop vehicular control[C]//ICRA. 2015:1654-1661.
    • (2015) ICRA , pp. 1654-1661
    • Driggs-Campbell, K.1    Shia, V.2    Bajcsy, R.3
  • 14
    • 79960968738 scopus 로고    scopus 로고
    • On-road prediction of driver's intent with multimodal sensory cues[J]
    • Doshi A, Morris B, Trivedi M. On-road prediction of driver's intent with multimodal sensory cues[J]. IEEE Pervasive Computing, 2011, 10(3): 22-34.
    • (2011) IEEE Pervasive Computing , vol.10 , Issue.3 , pp. 22-34
    • Doshi, A.1    Morris, B.2    Trivedi, M.3
  • 18
    • 0003425673 scopus 로고    scopus 로고
    • Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London May
    • Weston J, Watkins C. Multi-class support vector machines [R]. Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, May, 1998.
    • (1998) Multi-class Support Vector Machines [R]
    • Weston, J.1    Watkins, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.