Setup

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The MPD data is collected by the built multi-modal awareness vehicle system. The data is recorded in real time by the industrial computer equipped with GPU. Six cameras and four LiDARs are set on top of the vehicle, and here is the sensors setup diagrams:

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The vehicle speed is maintained at 40km / H during data collection. OpenMPD consists of consecutive frame fragments with each fragment lasting 5 seconds. For continuous image frames within 5 seconds, the camera annotates every other frame to obtain 100 labeled images. In addition, the mechanical LiDAR annotates each point cloud in succession within 5 seconds. To help researchers get a quick understanding on OpenMPD, we also provide the tutorials about how to use OpenMPD.

camera

The OpenMPD dataset is designed for a complex situation in the real world. In this condition, we need the views of the data collection platform to be 360°. Therefore, we add one more camera facing the back of the vehicle.

Below is the parameters for all cameras:

Sensors/parameter

Number

Resolution

Focal length

FOV

Data propagation speed

Range

Front_middle

1

1024*968

25mm

23°

47.41Mbp/s

50-150m

Front_Left & Right

2

1024*968

6mm

100°

47.41Mbp/s

~50m

Behind

1

1024*968

8mm

65°

44.40Mbp/s

~100m

Side_Left & Right

2

1024*968

5mm

78°

16.41Mbp/s

~3m

LiDAR

In order to provide a 360° degree of the whole environment with LiDAR,we have placed a 128 beams LiDAR at the front rooftop of the vehicle which is also the main scene’s data collection device. Compared with those LiDARs with fewer beams, it can collect information from a far distance with data being more accurate and points denser. In order to overcome the problems of blind spots, we decide to place 2 LiDAR with 16 beams on both of the side and 1 LiDAR with 40 beams on the back to cover the all scope. We set all LiDARs to 10Hz.

Below is the parameters for all LiDARs:

Sensors/parameters

Number

Beam

Vertical FOV

Vertical Resolution

Range

(offical

Range

(tested

Front

1

128

-25° +15°

0. 1°

200m

150m

Behind

1

40

-25° +15°

0.33°

200m

100m

Side_Left & Side_Right

2

16

-15° +15°

2°

100m

30m

Thanks Datatang( https://www.datatang.ai , stock code: 831428), a leading artificial intelligence data service provider in the world, for providing tailored data services. Several of its annotation platforms have managed to cut down data processing costs by integrating automatic annotation tools. With high-quality training data services in place, Datatang has helped thousands of AI enterprises around the world improve the performance of AI models.

Tsinghua University

Haidian District, Beijing, 100084, P. R. China

Email:xyzhang@tsinghua.edu.cn

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