The KITTI Vision Benchmark Suite

Laser radar data is prone to false detection
because of its simple features. To solve this
problem, we propose a fast image-based re-
classification algorithm. Each detection result of
laser radar is classified and recognized by the re-
classification algorithm, so as to reduce the false
detection. Then,the detection results are fed into
our proposed NC2 adaptive filter and multi-target
tracker for multi-target tracking.

python3.7

@InProceedings{Jiang2024Adaptive,
author = {Chao Jiang and Zhiling Wang and Huawei
Liang and Yajun Wang},
title = {A Novel Adaptive Noise Covariance
Matrix Estimation and Filtering Method:
Application to Multiobject Tracking},
booktitle = {IEEE Transactions on Intelligent
Vehicles},
year = {2024},
pages = {626-641},
month = jan,
}

@Article{Jiang2022Object,
author = {Chao Jiang and Zhiling Wang and Huawei
Liang},
title = {A Fast and High-Performance Object
Proposal Method for Vision Sensors: Application to
Object Detection},
journal = {IEEE Sensors Journal},
year = {2022},
month = jan,
}