Accounting for over 80% of human-perceived information about the physical world, vision is a critical interface between humans and city environments. Natural human vision, however, is subject to inherent physical constraints such as being limited to the line of sight (LOS).
In road transportation, such vision constraints lead to stress, inefficiency, and accidents in driving, and making turns with obstructed views is a major cause for about 2.5 million intersection accidents in U.S. every year. To eliminate the LOS constraint of natural human vision and to improve the safety of road transportation, this project develops a real-time wireless-networked augmented vision system that enables drivers to see through obstacles, and the project establishes the technology foundations in real-time wireless networking and collaborative augmented 3D vision.
Eliminating the LOS constraint of natural human vision and enabling non-LOS surrounding sensing, the developed augmented vision system will not only transform the experience, safety, and comfort of human driving, it will also serve as an important building block for human-in-the-loop autonomous driving and fully-autonomous driving. The developed technologies are also broadly applicable to domains such as public safety and disaster response, thus having positive societal impact.
Wayne State University Police