Abstract
Drivers face challenges due to inconsistent and unpredictable road conditions, which can lead to discomfort, increased vehicle wear, and potential safety hazards. Existing digital map and navigation systems lack the ability to provide real-time data on road surface quality, including potholes, cracks, or unevenness. This disclosure describes the use of dash cameras (or other on-board cameras of a vehicle) and other on-vehicle sensors to automatically detect road surface anomalies. This can be achieved by analyzing image data of the road surface of an empty road and by observing the motion of other vehicles in response to road surface variation. The data is used to automatically adjust vehicle suspension and to offer lane guidance or other indicators. With user permission, data regarding road conditions can be gathered from a large number of vehicles and analyzed by a digital map provider to support route planning, real-time adjustments, etc. The data can also be used to adjust the route for autonomous vehicles.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Surana, Prashant and Delmage, Matt, "Route Guidance and Adaptive Suspension Damping Based on Road Quality Sensing", Technical Disclosure Commons, (June 25, 2025)
https://www.tdcommons.org/dpubs_series/8278