Sensor data recorded from cameras and other sensors mounted on a robotic platform as well as additional external sensors capturing the robot in the garden.
The TrimBot2020 project researched the underlying robotics and vision technologies and prototypes the next generation of intelligent gardening consumer robots. The project focused on the development of intelligent outdoor hedge, rose and bush trimming capabilities, allowing the robot to navigate over varying garden terrain, approaching hedges to restore them to their ideal tidy state, and approaching topiary-styled bushes to restore them to their ideal shape.
This dataset contains an extensive recording of sensor data recorded from cameras and other sensors mounted on the robot as well as additional external sensors capturing the robot in an experimental outdoor garden.
Primary data are image streams from multi-camera rigs, additional data include inertial or 3D measurements and scene semantics. Results from methods developed in the project are also included.
Tylecek, R.; FIsher, R.B. "TrimBot2020 Dataset for Garden Navigation and Bush Trimming"
|Date made available||1 Jan 2020|
|Date of data production||1 Jan 2016 - 31 Dec 2019|