## Method

Residual Module [ReMo]

Submitted on 2 Nov. 2020 11:23 by
Seunghwan Byun (Soongsil University)

 Running time: 0.03 s Environment: 1 core @ 2.5 Ghz (C/C++)

 Method Description: Residual Module makes mask(51) Parameters: dropout probability = 0.2 Latex Bibtex:

## Evaluation in Bird's Eye View

 Benchmark MaxF AP PRE REC FPR FNR UM_ROAD 92.16 % 90.75 % 90.86 % 93.50 % 4.29 % 6.50 % UMM_ROAD 94.64 % 94.46 % 94.76 % 94.52 % 5.74 % 5.48 % UU_ROAD 90.40 % 89.37 % 90.75 % 90.05 % 2.99 % 9.95 % URBAN_ROAD 92.84 % 91.78 % 92.54 % 93.15 % 4.14 % 6.85 %
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

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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