Work by Zhangjing Wang, Yu Wu, and Qingqing Niu, IEEE Access Volume: 8, 2020

Keywords: Multi Sensor Fusion, Autonomous Driving, Tracking, Data Association

Summary

The authors present a survey for multi-source and heterogeneous information fusion for autonomous driving vehicles. They discuss three main topics:

1. Sensors and communications: identifying the most popular sensors and communication schemes for autonomous driving and their advantages and disadvantages
2. Fusion: dividing fusion approaches into four main strategies: discernible units, feature complementarity, target attributes of different sensors, and decision making of different sensors.
3. Data association: describing methods for data association for single or multiple sensors detecting spare or multiple targets.

Read the paper on IEEE here.