scholarly journals Survey of pedestrian detection with occlusion

2020 ◽  
Author(s):  
Chen Ning ◽  
Li Menglu ◽  
Yuan Hao ◽  
Su Xueping ◽  
Li Yunhong
Keyword(s):  
Traditional Method ◽  
Pedestrian Detection ◽  
Real Life ◽  
Research Progress ◽  
Robotic Navigation ◽  
Automotive Safety ◽  
Detection Technology ◽  
Autonomous Robotic Navigation ◽  
Main Ideas ◽  
Method Model

Abstract Pedestrian detection is widely applied in surveillance, autonomous robotic navigation, and automotive safety. However, there are many occlusion problems in real life. This paper summarizes the research progress of pedestrian detection technology with occlusion. First, according to different occlusion, it can be divided into two categories: inter-class occlusion and intra-class occlusion. Second, it summarizes the traditional method and deep learning method to deal with occlusion. Furthermore, the main ideas and core problems of each method model are analyzed and discussed. Finally, the paper gives an outlook on the problems to be solved in the future development of pedestrian detection technology with occlusion.

Backscattering Analysis of Cylinder Shaped Scatterer in Vegetation Medium: Comparison Between Theories

2020 ◽  
Vol 2 (1) ◽  
pp. 15-18
Author(s):  
Syabeela Syahali ◽  
Ewe Hong Tat ◽  
Gobi Vetharatnam ◽  
Li-Jun Jiang ◽  
Hamsalekha A Kumaresan
Keyword(s):  
Numerical Solution ◽  
Cross Section ◽  
Traditional Method ◽  
Microwave Remote Sensing ◽  
Solution Model ◽  
Complex Nature ◽  
Good Match ◽  
Equivalent Source ◽  
Backscattering Cross Section ◽  
Method Model

This paper analyses the backscattering cross section of a cylinder both using traditional method model and a new numerical solution model, namely Relaxed Hierarchical Equivalent Source Algorithm (RHESA). The purpose of this study is to investigate the prospect of incorporating numerical solution model into volume scattering calculation, to be applied into microwave remote sensing in vegetation area. Results show a good match, suggesting that RHESA may be suitable to be used to model the more complex nature of vegetation medium.

Lattice Boltzmann for Turbulence Modeling

2018 ◽  
Author(s):  
Sauro Succi
Keyword(s):  
Turbulent Flows ◽  
Lattice Boltzmann ◽  
Turbulence Modeling ◽  
Real Life ◽  
Practical Interest ◽  
Reynolds Numbers ◽  
Full Resolution ◽  
To Come ◽  
Highly Turbulent Flows ◽  
Main Ideas

This chapter introduces the main ideas behind the application of LBE methods to the problem of turbulence modeling, namely the simulation of flows which contain scales of motion too small to be resolved on present-day and foreseeable future computers. Many real-life flows of practical interest exhibit Reynolds numbers far too high to be directly simulated in full resolution on present-day computers and arguably for many years to come. This raises the challenge of predicting the behavior of highly turbulent flows without directly simulating all scales of motion which take part to turbulence dynamics, but only those that fall within the computer resolution at hand.

Pedestrian Detection Based on Histograms of Oriented Gradients in ROI

2012 ◽  
Vol 542-543 ◽  
pp. 937-940
Author(s):  
Ping Shu Ge ◽  
Guo Kai Xu ◽  
Xiu Chun Zhao ◽  
Peng Song ◽  
Lie Guo
Keyword(s):  
Traditional Method ◽  
Detection Method ◽  
Feature Vector ◽  
Pedestrian Detection ◽  
Region Of Interest ◽  
Experimental Results ◽  
Process Time ◽  
Vertical Edge ◽  
Histograms Of Oriented Gradients

To locate pedestrian faster and more accurately, a pedestrian detection method based on histograms of oriented gradients (HOG) in region of interest (ROI) is introduced. The features are extracted in the ROI where the pedestrian's legs may exist, which is helpful to decrease the dimension of feature vector and simplify the calculation. Then the vertical edge symmetry of pedestrian's legs is fused to confirm the detection. Experimental results indicate that this method can achieve an ideal accuracy with lower process time compared to traditional method.

Research Progress of Domestic Airborne Dual-Frequency LiDAR Detection Technology

2018 ◽  
Vol 55 (8) ◽  
pp. 082801 ◽  
Author(s):  
贺岩 He Yan ◽  
胡善江 Hu Shanjiang ◽  
陈卫标 Chen Weibiao ◽  
朱小磊 Zhu Xiaolei ◽  
王永星 Wang Yongxing ◽  
...  
Keyword(s):  
Research Progress ◽  
Dual Frequency ◽  
Detection Technology

scholarly journals NeoN: Neuromorphic control for autonomous robotic navigation

2017 ◽  
Author(s):  
J. Parker Mitchell ◽  
Grant Bruer ◽  
Mark E. Dean ◽  
James S. Plank ◽  
Garrett S. Rose ◽  
...  
Keyword(s):  
Robotic Navigation ◽  
Autonomous Robotic Navigation

Review on Key Technologies of Infrared Thermal Wave Detection Technology in Parts Defects

2012 ◽  
Vol 542-543 ◽  
pp. 814-817
Author(s):  
Jian Min Zhou ◽  
Li Juan Fan ◽  
Rui Feng Zhang
Keyword(s):  
Thermal Wave ◽  
Heat Transfer Analysis ◽  
Research Progress ◽  
Destructive Testing ◽  
Existing Problems ◽  
Wave Detection ◽  
Detection Technology ◽  
Key Technologies ◽  
New Type ◽  
Non Destructive

Infrared thermal wave detection technology has been found to be a new type of wide attention non-destructive testing (NDT) method due to its non-contact, non-destructive, rapidity, wide imaging field and advantages of direct observation. Key technologies and the latest research progress of the infrared thermal wave technology in parts defects are reviewed in this paper. The key technologies include the heat stimulator, infrared thermal image processing, heat transfer analysis and etc. The existing problems of the technology are also pointed out.

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