3 citations · 4 across the 4 of their papers we have counts for
4 papers
A New Adaptive Noise Covariance Matrices Estimation and Filtering Method: Application to Multi-Object Tracking
Chao Jiang, Zhiling Wang, Shuhang Tan +1
Kalman filters are widely used for object tracking, where process and measurement noise are usually considered accurately known and constant. However, the exact known and constant…
Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles
Zehai Yu, Hui Zhu, Linglong Lin +3
With the development of intelligent vehicle systems, a high-precision road map is increasingly needed in many aspects. The automatic lane lines extraction and modeling are the most…
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field
Weixin Huang, Huawei Liang, Linglong Lin +4
Ground segmentation is an important preprocessing task for autonomous vehicles (AVs) with 3D LiDARs. To solve the problem of existing ground segmentation methods being very difficu…
A High-Performance Object Proposals based on Horizontal High Frequency Signal
Jiang Chao, Liang Huawei, Wang Zhiling
In recent years, the use of object proposal as a preprocessing step for target detection to improve computational efficiency has become an effective method. Good object proposal me…