scholarly journals Vehicle Tracking

2021 ◽  
Author(s):  
John Scott ◽  
Nicholas Dallmann ◽  
J. Durham ◽  
William Junor ◽  
Michael Malone ◽  
...  
Keyword(s):  
Vehicle Tracking

Vehicle Tracking System Using GPS

2012 ◽  
Vol 2 (5) ◽  
pp. 104-105
Author(s):  
A. Jayanth A. Jayanth ◽  
◽  
S. Hemachandra S. Hemachandra ◽  
B. Suneetha B. Suneetha ◽  
B. Gowri Prasad B. Gowri Prasad
Keyword(s):  
Tracking System ◽  
Vehicle Tracking ◽  
Vehicle Tracking System

scholarly journals Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds

2021 ◽  
Vol 13 (14) ◽  
pp. 2770
Author(s):  
Shengjing Tian ◽  
Xiuping Liu ◽  
Meng Liu ◽  
Yuhao Bian ◽  
Junbin Gao ◽  
...  
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Vehicle Tracking ◽  
Complex Nature ◽  
Global Feature ◽  
Tracking Accuracy ◽  
State Estimator ◽  
Latent Space ◽  
3D Shapes ◽  
Cloud Tracking

Object tracking from LiDAR point clouds, which are always incomplete, sparse, and unstructured, plays a crucial role in urban navigation. Some existing methods utilize a learned similarity network for locating the target, immensely limiting the advancements in tracking accuracy. In this study, we leveraged a powerful target discriminator and an accurate state estimator to robustly track target objects in challenging point cloud scenarios. Considering the complex nature of estimating the state, we extended the traditional Lucas and Kanade (LK) algorithm to 3D point cloud tracking. Specifically, we propose a state estimation subnetwork that aims to learn the incremental warp for updating the coarse target state. Moreover, to obtain a coarse state, we present a simple yet efficient discrimination subnetwork. It can project 3D shapes into a more discriminatory latent space by integrating the global feature into each point-wise feature. Experiments on KITTI and PandaSet datasets showed that compared with the most advanced of other methods, our proposed method can achieve significant improvements—in particular, up to 13.68% on KITTI.

scholarly journals Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

2021 ◽  
pp. 1-1
Author(s):  
Rui Hou ◽  
Shuo Zhou ◽  
Mengtian Cui ◽  
Lingyun Zhou ◽  
Deze Zeng ◽  
...  
Keyword(s):  
Vehicle Tracking ◽  
Named Data Networking ◽  
Data Forwarding ◽  
Data Networking

scholarly journals IoT-Based Vehicle Tracking and Monitoring using Raspberry Pi

2021 ◽  
Vol 1964 (6) ◽  
pp. 062016
Author(s):  
Basava Dhanne ◽  
A Srinivas ◽  
K Subramanya Chari
Keyword(s):  
Vehicle Tracking ◽  
Raspberry Pi

Road-Map Aided GM-PHD Filter for Multi-Vehicle Tracking with Automotive Radar

2021 ◽  
pp. 1-1
Author(s):  
Kun Shi ◽  
Zhiguo Shi ◽  
Chaoqun Yang ◽  
Shibo He ◽  
Jiming Chen ◽  
...  
Keyword(s):  
Vehicle Tracking ◽  
Automotive Radar ◽  
Road Map
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