为了安全起见,自动驾驶汽车必须准确跟踪行人、非机动车和周围其他车辆的运动轨迹。一般而言,可用于训练跟踪系统的道路和交通数据越多,结果越好。Generally speaking,the more road and traffic data available for training tracking systems,the better the results will be.Researchers have found a way to unlock a mountain of autonomous driving data for this purpose."Our method is much more precise than previous methods because we can train on much larger datasets,"said Himangi Mittal,a researcher in CMU's Robotics Institute.
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