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Today trucks account for close to half of the US passenger vehicle market. And customers expect more and more from their trucks in terms of comfort and convenience features. The key to developing Best-in-Class comfort and convenience attributes lies in applying Ergonomic principles to the vehicle interior design. Lear Corporation has recently studied 4 truck interiors in the Sport Utility Market Segment focusing on Ergonomic design issues. This paper will review the Sport Utility study results and make interior design recommendations. In this market, functionality is of primary importance to customers. Using random samples of truck owners, we have examined the functionality of door panels, consoles, controls, cupholders, cargo covers and the rear cargo area. Several factors ranging from reach criteria, tactile feel and usability through operating efforts and the motion required to operate the various features were examined.

In this paper the application of Statistical Energy Analysis (SEA) to the sound package design for a fuel cell powered sedan is presented. Fuel cell vehicles represent a different challenge to a vehicle with a conventional powertrain. With the replacement of the internal combustion engine (ICE), a principal source of airborne and structure-borne powertrain noise, the expectation is that the cabin noise levels would be significantly reduced as the main noise sources would be road and wind noise. A fuel cell powertrain, however, has a number of mechanical sources on the body structure that will radiate airborne noise and may transmit significant structure-borne noise to the vehicle interior. With this alternative power train, much of the conventional wisdom on vehicle sound package developed from experience with ICE's must be reconsidered.

This paper presents the computer vision-based V2X collaborative perception. Our system uses a forward-looking camera in the host vehicle. The camera detects road users such as pedestrians, vehicles, and motorcycles. Such information includes object type, relative location, direction, and speed. This information is used to compose proxy Basic Safety Messages on behalf of the detected objects. Early adopters of the V2X technology can experience the benefits of enhanced V2X market penetration. The outcome of adopting this concept will result in an inflated V2X market penetration rate leading to earlier safety, mobility, and situational awareness improvements. The ultimate goal is for all road participants to be fully aware of each other. The novelty of our work is the integration of computer vision-based detection and LTE-V V2X communications, in addition to implementing the concept for pedestrians and bicyclists.

Vehicle to Everything (V2X) technology has been studied extensively in the past years. Limited pilot and production deployments, and research work have demonstrated V2X benefits. These include improvement to safety, mobility conditions and environmental benefits. Several safety and mobility applications have been investigated in literature. Nonetheless, V2X holds a potential for broader innovation in connected and automated vehicle applications. Feasibility assessment and algorithm validation of such applications may prove to be challenging. This results from costs associated with test track rental and equipping vehicles with V2X technology. Besides, limited V2X penetration rate leads to unavailability of naturalistic testing environment. In this paper, we investigate the use of the autonomous vehicle simulation, named Carla, for V2X application validation. Carla is an open source project that we altered to enable V2X applications assessment.