Method

RoadFormer+ [RoadFormer+]


Submitted on 18 Apr. 2024 08:41 by
Rui Fan (Tongji University)

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
tbd
Parameters:
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Latex Bibtex:
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Evaluation in Bird's Eye View


Benchmark MaxF AP PRE REC FPR FNR
UM_ROAD 97.17 % 93.41 % 97.09 % 97.24 % 1.33 % 2.76 %
UMM_ROAD 98.15 % 95.46 % 98.07 % 98.23 % 2.12 % 1.77 %
UU_ROAD 97.02 % 92.33 % 96.75 % 97.29 % 1.06 % 2.71 %
URBAN_ROAD 97.56 % 93.74 % 97.43 % 97.69 % 1.42 % 2.31 %
This table as LaTeX

Behavior Evaluation


Benchmark PRE-20 F1-20 HR-20 PRE-30 F1-30 HR-30 PRE-40 F1-40 HR-40
This table as LaTeX

Road/Lane Detection

The following plots show precision/recall curves for the bird's eye view evaluation.



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Distance-dependent Behavior Evaluation

The following plots show the F1 score/Precision/Hitrate with respect to the longitudinal distance which has been used for evaluation.


Visualization of Results

The following images illustrate the performance of the method qualitatively on a couple of test images. We first show results in the perspective image, followed by evaluation in bird's eye view. Here, red denotes false negatives, blue areas correspond to false positives and green represents true positives.



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