This report describes the work of this master thesis at the Master program in Industrial Design Engineering at Luleå University of Technology. It was conducted at Volvo Cars in Gothenburg for 20 weeks between January and June spring 2014. Volvo Car Corporation is a car manufacturer that produces premium cars, with focus on safety and attractiveness. The goal was to develop a virtual objective evaluation method for quantifying and analyzing the rearward visibility in cars to create a tool for future requirement settings and competitive benchmarks. The methodology used was an iterative development process resulting in incremental progress after each repeated cycle, refining the result after each iteration. A comprehensive data collection was made in form of a user test, several interviews and statistics research to be able to extract knowledge from existing users and experts. A thorough literature study was also made on driver behavior and crash statistics from real life accidents. The information gathered was analyzed and transformed into needs and requirements. A full participant observation was made to investigate and explore the topic and to evaluate difficulties and problems when driving on highway and in urban traffic. It would lead to the developing of the user test which consisted of 4 tasks concerning rearward visibility and was performed by twelve Volvo Cars employees driving 3 different cars – Volvo XC90, Volvo S80 and Volvo V40. It would bring a lot of understanding in driver behavior and user need that was the ground for the concept development. The product development was made in several iterations that started from the initial concept generation. Development continued and was evaluated against the requirement specification. Each iteration was also evaluated in a more subjective way, estimating the user experience of each concept and the functionality for intended user. The concepts were developed in four versions from concept V1 to V4. The final result was based on visibility projections from eye points based on the 50th%ile driver. The obscuring geometry of the car analyzed is loaded in to Catia and together with base data. The base data provides information needed to insert the eye points of a 50th driver. When that is done there is made three types of analyzes, a sphere, ground plane and vertical plane as target surfaces. The projection thru the obscuring car geometry is made from 4 eye points resulting in quantified field of views. There are four projections made on each target surfaces to the cars ground plane (curbs +2). The indirect visibility is analyzed by projecting the visibility thru the car’s mirrors from the eye points back onto a vertical wall. The results are possible to filter on several parameters that concerns rearward visibility. Filtering the results is available by situation, target surface, direct/indirect view, left/right viewing position. The complete method will make it possible to gather and analyze the rearward visibility in an objective and versatile way. We believe that this tool will facilitate ergonomics group when it comes to creating a more solid foundation for future requirement setting and analysis of Volvo's and competitors' cars.