ISPRS Commission III, Vol.34, Part 3A ,Photogrammetric Computer Vision*, Graz, 2002
(b) Gap with road side support
(a) Gap without road side support
Figure 9: Model for grouping lane segments into lanes:
Components used for extraction | Components used for evaluation
S, OH
¢) Testing ribbon area along s(w) (d) Histogram of height variation in ribbon area
Figure 6: Model for ribbons:
Components used for extraction | Components used for evaluation
> Orientation difference between
pairs of lane segments: limited
Gap length: limited
» Lane segment widths: similar
> Lane segment heights: similar
> Gap analysis: see evaluation of
lane segments
> Support of road sides: high
> Overall curvature: low
> Overall height variation: low
> Profile of gradient VI along
$ | : "half-pipe"
> Width of ribbon w: bounded
> Length of s(w): lower bound
> Height variation of s(w): low
> Intensity of s(w): high
> Homogeneity of s(w): distinct
(c) One-sided homogeneous road side
VI
$1!
1
$1
(b) Edge model in gradient image
| Y.
VH
(d) Histogram of height gradients
P. de n
i
gh ues Papier — |
(a) Road segment from connected lanes
(b) Connection between road segments
Figure 10: Model for road segments and road links:
Figure 7: Model for road sides:
Components used for extraction | Components used for evaluation
> Gradient VI: curvature maxi-
mum along § |
> Length of s: lower bound
> Areas beside s: at least one ho-
mogeneous area required
> Height gradient V H: low
Components used for extraction
of road segments
Components used for evaluation
of road segments
> Parallelism of neighboring
lanes: high
> Gap analysis within road seg-
ment: see evaluation of lanes
> Widths of lanes across road
segments: similar
> Heights of neighboring lanes:
similar
> Fragmentation (missing lane
segments): low
Components used for extraction
of road links
Components used for evaluation
of road links
(a) Lane segments from markings
"
(b) Segment from markings and road side
Figure 8: Model for lane segments:
Components used for extraction | Components used for evaluation
> Groups of markings (pair): par-
allel, width bounded
> Group of markings (isolated):
width hypothesized
> Group of markings and road
side: parallel, width bounded
> Intensity: bright (see illustra-
tion in Fig. 6 "Ribbons")
> Homogeneity: distinct (see il-
lustration in Fig. 6 Ribbons”)
> Height variation: low (see il-
lustration in Fig. 6 Ribbons”)
> Orientation difference between
pairs of road segments: limited
> Gap length: limited
> Road segments to connect:
compatible lane configuration
> Gap analysis: see extraction
and evaluation of road segments
> Length of road link: high
> Overall curvature: low
> Overall height variation: low
5 RESULTS AND DISCUSSION
Figures 11 and 12 show the final result of road extraction. The re-
sults have been evaluated by matching the extracted road axes to
manually plotted reference data (Wiedemann and Ebner, 2000).
As can be seen, major parts of the road networks have been ex-
tracted (white lines indicate extracted road axes). Expressed in
numerical values, we achieve a completeness of almost 70 %
and a correctness of about 95 %. The system is able to detect
shadowed road sections or road sections with rather dense traffic.
However, it must be noted that some of the axes’ underlying lane
segments have been missed. This is most evident at the complex
road junctions in both scenes, where only spurious features for
the construction of lanes could be extracted. Thus, not enough
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