Techniques for determining and/or predicting a trajectory of an object by using the appearance of the object, as captured in an image, are discussed herein. Image data, sensor data, and/or a predicted trajectory of the object (e.g., a pedestrian, animal, and the like) may be used to train a machine learning model that can subsequently be provided to, and used by, an autonomous vehicle for operation and navigation. In some implementations, predicted trajectories may be compared to actual trajectories and such comparisons are used as training data for machine learning.
本文讨论了用于通过使用在图像中捕获的对象的外观来确定和/或预测对象的轨迹的技术。图像数据、传感器数据和/或对象(例如,行人、动物等)的所预测的轨迹可以用于训练机器学习模型,该机器学习模型随后可以被提供给自主车辆并由自主车辆用于操作和导航。在一些实现方式中,可以将所预测的轨迹与实际轨迹进行比较,并且这种比较用作用于机器学习的训练数据。
MOTION PREDICTION BASED ON APPEARANCE
基于外观的运动预测
2021-09-28
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
Scene appearance model based on spatial prediction
British Library Online Contents | 2014
|INTER-TRIAL DIFFERENCE ANALYSIS THROUGH APPEARANCE-BASED MOTION TRACKING
BASE | 2012
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