OPEN-KTH: An open Lidar dataset of KTH campus Vahlallavägen
Data available at the following locations:
- Github : https://github.com/AD-EYE/OPEN-KTH
Zenodo: (Available Soon)
Box: (Available Soon)
Sensors used:
Velodyne VLP-16 Lidar
Xsens MTi-700 IMU
Data formats:
Sensor readings in the form of rosbags. Learn more here: rosbags.
A full (processed) map of KTH in th e PCD and LAS formats.
Learn more about the formats here: PCD format, LAS format.
Open-KTH is a subproject of the AD-EYE testbed for Automated Driving and Intelligent Transportation Systems.
The AD-EYE testbed is based on the description presented in the work :
Naveen Mohan, Martin Törngren, "AD-EYE: A practical simulation toolchain for the early verification of Functional Safety Concepts.", SAE Technical Paper 19AE-0203/2019-01-0126, https://doi.org/10.4271/2019-01-0126
Preprint available at: https://arxiv.org/abs/1912.00448
People/acknowledgements
Students the group "AD-EYE on Road" in the capstone course of the Mechatronics Masters program, collected the data using the AD-EYE platform.
Maxime Sainte Catherine from the AD-EYE team mapped the data, and generated the visualizations seen on this page.
Partly funded by:
the KTH digitalization platform (via the platform support call of Fall 2019)
the Campus 2030 project (via the Road2Science competence center, and the InfraSweden2030 Strategic Innovation Program)
And using resources from the following parts of KTH:
Integrated Transport Research Laboratory, a competence center at the ITM school.
Mechatronics and Embedded Control Systems division at the ITM school.
Electronics and Embedded Systems division at the EECS school.
