biped is a camera-based assistive technology for pedestrian mobility, developed for those who are blind or visually impaired. And it has a lot in common with self-driving cars. Indeed, it directly integrates software from self-driving car manufacturers. Here is a closer look at how biped and self-driving cars are similar:

Sounds are probably the most important information for blind users when they navigate. Numerous research papers have shown in the past that blind and visually impaired people become exceptionally good at identifying the location of the source of a sound around them. So why would someone in their right mind play sounds in a blind person’s ears?

Sounds are probably the most important information for blind users when they navigate. Numerous research papers have shown in the past that blind and visually impaired people become exceptionally good at identifying the location of the source of a sound around them. So why would someone in their right mind play sounds in a blind person’s ears?

Sounds are probably the most important information for blind users when they navigate. Numerous research papers have shown in the past that blind and visually impaired people become exceptionally good at identifying the location of the source of a sound around them. So why would someone in their right mind play sounds in a blind person’s ears?

As biped plays 3D sounds to warn you about the most important elements, the key question remains to know how to filter the most relevant information. And to be honest, this is not straightforward, for multiple reasons: every user is different and has different thresholds that they consider as an overload every user has different residual vision and wants different warnings, what matters usually depends on the situation, and every situation is different.

For decades, companies have used ultrasounds or laser sensors. These sensors have been mounted on a wristband, on a necklace, on glasses, on a white cane, on shoes…Innovation cannot come from the way one wears these sensors. Limits have been reached long ago. Whether you try to group a couple of sensors together, work on the feedback or else, there is simply nothing that will allow you to produce a good understanding of your surroundings.