NVDriveNet-H [NVDriveNet-H]

Submitted on 3 Apr. 2016 05:37 by
Pekka Jänis (NVIDIA Helsinki Oy)

Running time:0.15s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
Deep convolutional neural network trained on the
KITTI data.
Latex Bibtex:

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).

Benchmark Easy Moderate Hard
Car (Detection) 90.09 % 89.81 % 80.08 %
This table as LaTeX

2D object detection results.
This figure as: png eps pdf txt gnuplot

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