Method

BEVHeight++: Toward Robust Visual Centric 3D Object Detection [BEVHeight++]
https://github.com/yanglei18/BEVHeight_Plus

Submitted on 11 Sep. 2024 08:23 by
Yang Lei (Tsinghua University)

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

Method Description:
BEVHeight++ is a new vision-based 3D object
detector specially designed for both roadside and
vihicle-side scenarios. On popular 3D detection
benchmarks of roadside cameras, BEVHeight++
surpasses all previous vision-centric methods by a
significant margin. In terms of the ego-vehicle
scenario, our BEVHeight++ also possesses superior
over depth-only methods.
Parameters:
TBD
Latex Bibtex:
@article{yang2023bevheight++,
title={Bevheight++: Toward robust visual centric
3d object detection},
author={Yang, Lei and Tang, Tao and Li, Jun and
Chen, Peng and Yuan, Kun and Wang, Li and Huang,
Yi and Zhang, Xinyu and Yu, Kaicheng},
journal={arXiv preprint arXiv:2309.16179},
year={2023}
}

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) 59.85 % 49.99 % 42.86 %
Car (Orientation) 24.77 % 20.21 % 17.37 %
Car (3D Detection) 16.69 % 11.26 % 9.03 %
Car (Bird's Eye View) 37.51 % 24.90 % 20.93 %
This table as LaTeX


2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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