The USyd Campus Dataset

Dataset highlights

Since March 2018, we started collecting driving data on a weekly basis over the University of Sydney (USyd) campus and surroundings. This USyd Campus Dataset contains more than 60 weeks drives and is continuously updated.

It includes multiple sensor modalities (camera, lidar, GPS, IMU, wheel encoder, steering angle, etc.) and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. 

Dataset highlight video:

Details

We have summarized each dataset information in the spreadsheet. You can use it as a reference to find the data for your need. 

We also provided a set of development toolkets to facilitate the visualization and utilization of our dataset. Please refer to the following section for more details.

We have one customized frame_info topic which will be used for all camera related tools. Please download this first and build it in your catkin workspace. 

Dataset Download

Please go to IEEE DataPort to download data.  https://ieee-dataport.org/open-access/usyd-campus-dataset

Applications

The USyd Campus Dataset can be used for design, train, validate and test different algorithms. In this section, we provide some possible applications using this dataset.

Detection and tracking

Mapping maintenance

Contacts

For any inquiries, please contact us:

 Wei Zhou: w.zhou@acfr.usyd.edu.au

Stephany Berrio: julie.berrio@acfr.usyd.edu.au

Stewart Worrall: stewart.worrall@sydney.edu.au

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