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Table 3 Statistical features

From: Cyclist detection and tracking based on multi-layer laser scanner

#

Formula

Description

28

D1d2

Convexity of laser points at first layer

29

D2d2

Convexity of laser points at second layer

30

D3d3

Convexity of laser points at third layer

31

D4d4

Convexity of laser points at fourth layer

32

\( \sqrt {\frac{ 1}{{N_{c} }}\sum\nolimits_{i = 1}^{{N_{c} }} {(p_{xy,i} - \bar{p}_{2D} )^{2} } } \)

Standard deviation: \( \bar{p}_{2D} \) denotes the mean of the projection points at horizontal plane

33

\( \sum\nolimits_{i = 1}^{{N_{c} }} {(p_{xy,i} - D_{m} )^{2} /N_{c} } \)

Variance: Dm denotes the median of the projection points at horizontal plane

34

\( \sum\nolimits_{i = 1}^{{N_{c} }} {(p_{xy,i} - \bar{p}_{2D} )^{2} } /N_{c} \)

Second central moment

35

\( \sum\nolimits_{i = 1}^{{N_{c} }} {(p_{xy,i} - \bar{p}_{2D} )^{3} } /N_{c} \)

Third central moment

36

\( \sum\nolimits_{i = 1}^{{N_{c} }} {(p_{xy,i} - \bar{p}_{2D} )^{4} } /N_{c} \)

Fourth central moment

37

\( r_{center} /\frac{{r_{front} + r_{rear} }}{2} \)

Residual ratio