A system that identifies road conditions associated with a road surface is provided. The system includes a first sensor recording a first motion amount related to a head of a rider and at least a second sensor recording at least a second motion amount of a portion of a vehicle. The system also includes a comparison manager determining a severity level based on a comparison between the first motion amount and the second motion amount. Also included is a notification manager providing recommendations to the rider based on the severity level. Additionally, an implementation manager may dynamically implement one or more actions based on the severity level.

A system that identifies road conditions associated with a road surface is provided. The system includes a first sensor recording a first motion amount related to a head of a rider and at least a second sensor recording at least a second motion amount of a portion of a vehicle. The system also includes a comparison manager determining a severity level based on a comparison between the first motion amount and the second motion amount. Also included is a notification manager providing recommendations to the rider based on the severity level. Additionally, an implementation manager may dynamically implement one or more actions based on the severity level.

The present disclosure relates to a method of determining whether a frame of a work machine is approaching a tip over point. First and second loads upon respective first and second support arrangements of the frame are detected using respective first and second sensing means. Signals are generated indicative of the first and second loads and communicated to a controller. The controller is configured to generate an alert based upon the first and second loads when the first and/or second load signals indicate that the orientation of the work machine is approaching a tip over point.

A system that identifies road conditions associated with a road surface is provided. The system includes a first sensor recording a first motion amount related to a head of a rider and at least a second sensor recording at least a second motion amount of a portion of a vehicle. The system also includes a comparison manager determining a severity level based on a comparison between the first motion amount and the second motion amount. Also included is a notification manager providing recommendations to the rider based on the severity level. Additionally, an implementation manager may dynamically implement one or more actions based on the severity level.

The present disclosure relates to a method of determining whether a frame of a work machine is approaching a tip over point. First and second loads upon respective first and second support arrangements of the frame are detected using respective first and second sensing means. Signals are generated indicative of the first and second loads and communicated to a controller. The controller is configured to generate an alert based upon the first and second loads when the first and/or second load signals indicate that the orientation of the work machine is approaching a tip over point.

A computer implemented method for determining a road friction condition associated with at least one wheel on a heavy-duty vehicle includes transmitting a radar signal by at least one polarimetric radar transceiver towards a surface supporting the vehicle, and receiving backscatter from the transmitted radar signal, where the radar signal comprises a first polarization component and a second polarization component different from the first polarization component, processing the received backscatter by a processing device to determine a friction parameter related to the road friction condition of the surface, monitoring the friction parameter over time to detect change in the friction parameter, and in case change in the friction parameter is detected, triggering friction estimation by a secondary physical friction estimation system.