Human pose recognition and tracking using RGB-D camera

Accidents caused by heavy vehicles, are a serious worldwide safety problem. Preventing these accidents demands thorough knowledge about vehicle dynamic state as well as other vehicle parameters. For this purpose, High-Order Sliding-Mode Observer (HOSMO) is employed to estimate the dynamic states and parameters of the heavy vehicles to evaluate the rollover threat and warning signals are issued sufficiently in advance of rollover, then the rollover accidents can be prevented by the driver's corrective actions. The proposed method proved efficient by simulation.