Search Results

Using neural networks, an algorithm has been developed to steer a wheel loader vehicle. Mathematical functions have been used in the past in an attempt to model a human in their operation of many types of vehicles. Since such functions can typically only be derived for situations in which the problem domain is thoroughly understood, research continues in an effort to develop a complete “operator model”. Neural Network algorithms were utilized in an attempt to determine the feasibility of accurately modeling the operator of a wheel loader construction vehicle. These algorithms were also used to determine how the control of different vehicle functions might be automated on a wheel loader.

A first surface thermoplastic composite knee bolster system has been developed by Chrysler Corporation for the Eagle Premier vehicle, resulting in a major breakthrough for occupant safety interior design. It provides significant weight and cost savings versus the multi-piece steel assembly it replaced. This new design, in conjunction with a motorized two (2) point seat belt system, meets all FMVSS 208 requirements for occupant protection and safety.