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TJRadarLab / TJ4DRadSet

TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
MIT License
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Radar rawdata structure #2

Closed shawrby closed 1 year ago

shawrby commented 2 years ago

Thanks for the mini dataset you released.

I have a question.

1) Looking at the radar raw data, it has 8 values as shown in the picture below. image What does each mean?

2) How many frames of radar raw data have you accumulated?

TJRadarLab commented 2 years ago

1）It means [x,y,z,Vr,range,power,alpha,beta], and we only used the dimensions of [0,1,2,3,5]. 2) The 4D radar frames are accumulated in provided SDK, the number of frames is not specified in the technical document. Maybe I'll ask technical support later.

shawrby commented 2 years ago

@TJRadarLab

Does the dataset provide annotation about the target's compensated velocity taking into account ego motion?

TJRadarLab commented 1 year ago

@TJRadarLab

Does the dataset provide annotation about the target's compensated velocity taking into account ego motion?

Hello, the dataset can provide the raw relative radial velocity as well as the radial velocity compensated after estimating the ego motion using 4D radar point cloud.

linqx7 commented 3 months ago

@TJRadarLab Does the dataset provide annotation about the target's compensated velocity taking into account ego motion?数据集是否提供有关考虑自我运动的目标补偿速度的注释？

Hello, the dataset can provide the raw relative radial velocity as well as the radial velocity compensated after estimating the ego motion using 4D radar point cloud.您好，该数据集可以提供原始相对径向速度以及使用 4D 雷达点云估计自我运动后补偿的径向速度。

Hollow,请问4D 雷达点云估计自我运动后补偿的径向速度在哪里？