Research bicycle with lidar
We have developed a research bicycle outfitted with a lidar (Ouster OS1-128). The lidar on the bicycle is able to continuously measure the 3D environment in point clouds, which are made up of hundreds of thousand of data points in a 3-dimensional space.
This lidar bicycle allows us to study driver-bicyclist interactions in real-world roadways with continuous and accurate distance measurements from the bicycle to any nearby objects (e.g., surrounding vehicles). This, in turn, helps us to better understand the safety implications (e.g., driver passing distance when overtaking cyclists) of various real-world street environment and bicycle facility designs.
Online interactive point cloud visualization
You can interact with the point clouds below using a mouse or your fingers to rotate the view or zoom in/out.
You can also click here to open it in a new browser tab.
Lidar recording demo
Overtaking bicyclists lidar point cloud and camera data demo
Open data repository
We have developed an open data repository to share the data that were collected by our lidar bike.
It includes the synchronized lidar data and camera data at 10 Hz with timestamps.
If you are interested in exploring the data, start with the README.md file located in the root directory of the repository (linked above).
For any questions or issues regarding the repository please email Dr. Fred Feng at fredfeng@umich.edu.