The presence of deteriorated road conditions like potholes, damage to roads, black ice on a road can adversely impact components of the vehicle passing over such spots and create unpleasant driving experience to the users in the vehicle.

Current systems utilize data from front axle data to adjust rear axle parameters on impact, tire data, crowd reported information, accidents on third party assisted map devices, or detected pothole.

There have been methods to adapt ride based on sensing and analysis. However, they don’t have real time data, visual overlay of information based on recorded sensing data, localized precisely with fusion of lateral and longitudinal control inputs like contact friction, suspension loads, tire deformations, steering angle, steering torque, yaw, pitch, roll and pose of a vehicle to accurately inform the adversity in road.

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