Track-to-Track Fusion With Asynchronous Sensors Using Information Matrix Fusion for Surround Environment Perception

2012 ◽  
Vol 13 (4) ◽  
pp. 1717-1726 ◽  
Author(s):  
Michael Aeberhard ◽  
Stefan Schlichtharle ◽  
Nico Kaempchen ◽  
Torsten Bertram
Keyword(s):  
Information Matrix ◽  
Track Fusion ◽  
Environment Perception ◽  
Matrix Fusion

A generalized information matrix fusion based heterogeneous track-to-track fusion algorithm

2011 ◽  
Author(s):  
Xin Tian ◽  
Yaakov Bar-Shalom ◽  
Ting Yuan ◽  
Erik Blasch ◽  
Khanh Pham ◽  
...  
Keyword(s):  
Information Matrix ◽  
Fusion Algorithm ◽  
Track Fusion ◽  
Generalized Information ◽  
Matrix Fusion

scholarly journals Driving Environment Perception Based on the Fusion of Vehicular Wireless Communications and Automotive Remote Sensors

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1860
Author(s):  
Minjin Baek ◽  
Jungwi Mun ◽  
Woojoong Kim ◽  
Dongho Choi ◽  
Janghyuk Yim ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Wireless Communication ◽  
Sensor Data ◽  
Automated Vehicles ◽  
Remote Sensors ◽  
Track Fusion ◽  
Remote Sensor ◽  
Level Sensor ◽  
Environment Perception ◽  
High Level

Driving environment perception for automated vehicles is typically achieved by the use of automotive remote sensors such as radars and cameras. A vehicular wireless communication system can be viewed as a new type of remote sensor that plays a central role in connected and automated vehicles (CAVs), which are capable of sharing information with each other and also with the surrounding infrastructure. In this paper, we present the design and implementation of driving environment perception based on the fusion of vehicular wireless communications and automotive remote sensors. A track-to-track fusion of high-level sensor data and vehicular wireless communication data was performed to accurately and reliably locate the remote target in the vehicle surroundings and predict the future trajectory. The proposed approach was implemented and evaluated in vehicle tests conducted at a proving ground. The experimental results demonstrate that using vehicular wireless communications in conjunction with the on-board sensors enables improved perception of the surrounding vehicle located at varying longitudinal and lateral distances. The results also indicate that vehicle future trajectory and potential crash involvement can be reliably predicted with the proposed system in different cut-in driving scenarios.

High-Frequency and Low-Latency DSP Architecture for Information Matrix Fusion

2021 ◽  
Author(s):  
D.S.L. Praharshita ◽  
Bethi Pardhasaradhi ◽  
Pathipati Srihari ◽  
U. Shripathi Acharya ◽  
G.V.K. Sharma
Keyword(s):  
High Frequency ◽  
Information Matrix ◽  
Low Latency ◽  
Dsp Architecture ◽  
Matrix Fusion
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