PHD filter for vehicle tracking based on a monocular camera
作者： Fernando García , A. Prioletti , P. Cerri , A. Broggi
DOI: 10.1016/J.ESWA.2017.09.018
关键词:
摘要: Abstract Novel advance driver assistance systems, such as emergency braking and adaptive cruise control require the most reliable detection algorithms. Furthermore, in recent years, use of computer vision approaches these type applications is becoming more frequent. However, when dealing with technologies, reliability a very important factor that still requires improvement. On this paper, it presented tracking algorithm which aims improving accuracy applications, based on modern Probability Hypothesis Density (PHD) Filter technique. The performed features detected within bounding box provided by video vehicle algorithm. tracked are combined last stage, providing accurate monocular camera tracking. Test provided, allowed to identify best method for feature combination. was proved under proper visibility conditions, PHD filter design able improve current methods Unscented Kalman Filter.
sci-hub.se 参考文章(44)
Deukhyeon Kim, Jinwook Choi, Hunjae Yoo, Ukil Yang, Kwanghoon Sohn, None, Rear obstacle detection system with fisheye stereo camera using HCT Expert Systems With Applications. ,vol. 42, pp. 6295- 6305 ,(2015) , 10.1016/J.ESWA.2015.04.035
Dominique Gruyer, Rachid Belaroussi, Marc Revilloud, Accurate lateral positioning from map data and road marking detection Expert Systems With Applications. ,vol. 43, pp. 1- 8 ,(2016) , 10.1016/J.ESWA.2015.08.015
E.A. Wan, R. Van Der Merwe, The unscented Kalman filter for nonlinear estimation Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373). pp. 0- 0 ,(2000) , 10.1109/ASSPCC.2000.882463
Soo Siang Teoh, Thomas Bräunl, Symmetry-based monocular vehicle detection system Machine Vision and Applications. ,vol. 23, pp. 831- 842 ,(2012) , 10.1007/S00138-011-0355-7
Fernando Garcia, Pietro Cerri, Alberto Broggi, Arturo de la Escalera, Jose Maria Armingol, Data fusion for overtaking vehicle detection based on radar and optical flow ieee intelligent vehicles symposium. pp. 494- 499 ,(2012) , 10.1109/IVS.2012.6232199
Hamid Hassannejad, Paolo Medici, Elena Cardarelli, Pietro Cerri, Detection of moving objects in roundabouts based on a monocular system Expert Systems With Applications. ,vol. 42, pp. 4167- 4176 ,(2015) , 10.1016/J.ESWA.2015.01.032
Jongin Son, Hunjae Yoo, Sanghoon Kim, Kwanghoon Sohn, Real-time illumination invariant lane detection for lane departure warning system Expert Systems With Applications. ,vol. 42, pp. 1816- 1824 ,(2015) , 10.1016/J.ESWA.2014.10.024
Fernando Garcia, Arturo de la Escalera, Jose Maria Armingol, Felipe Jimenez, Context aided fusion procedure for road safety application international conference on multisensor fusion and integration for intelligent systems. pp. 407- 412 ,(2012) , 10.1109/MFI.2012.6343070
Jaeik Jo, Sung Joo Lee, Kang Ryoung Park, Ig-Jae Kim, Jaihie Kim, Detecting driver drowsiness using feature-level fusion and user-specific classification Expert Systems With Applications. ,vol. 41, pp. 1139- 1152 ,(2014) , 10.1016/J.ESWA.2013.07.108
C. Hoffmann, Fusing multiple 2D visual features for vehicle detection ieee intelligent vehicles symposium. pp. 406- 411 ,(2006) , 10.1109/IVS.2006.1689662