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Jan, 2020
自动驾驶的概率三维多目标跟踪
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
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Hsu-kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg
TL;DR
本文介绍了一种在线目标跟踪方法，采用卡尔曼滤波器估算对象状态，并测量预测对象状态和当前检测数据之间的马氏距离以进行数据关联，该方法在NuScenes Tracking Challenge中表现优异。
Abstract
3d multi-object tracking
is a key module in
autonomous driving
applications that provides a reliable dynamic representation of the world to the planning module. In this paper, we present our on-line tracking meth
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