A survey on computer vision technology in Camera Based ETA devices

Electronic Travel Aid systems are expected to make impaired persons able to perform their everyday tasks such as finding an object and avoiding obstacles easier. Among ETA devices, Camera Based ETA devices are the new one and with a high potential for helping Visually Impaired Persons. With recent advances in computer science and specially computer vision, Camera Based ETA devices used several computer vision algorithms and techniques such as object recognition and stereo vision in order to help VIP to perform tasks such as reading banknotes, recognizing people and avoiding obstacles. This paper analyses and appraises a number of literatures in this area with focus on stereo vision technique. Finally, after discussing about the methods and techniques used in different literatures, it is concluded that the stereo vision is the best technique for helping VIP in their everyday navigation

Image processing techniques for the perception of automotive environments with applications to pedestrian detection

The experience of the ARGO Project: it started in 1996 at the University of Parma, Italy, based on the previous experience within the European PROMETHEUS Project. In 1997 the ARGO prototype vehicle was set up with sensors and actuators, and the first version of the GOLD software system – able to locate one lane marking and generic obstacles on the vehicle’s path – was installed. In June 1998 the vehicle underwent a major test (the MilleMiglia in Automatico, a 2000 km tour on Italian highways) in order to test the complete equipment