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:

1. Both use cameras and sensors to gather information

Self-driving cars and biped both use cameras and other sensors such as LiDAR to gather information about their surroundings. biped has 170 degrees of field of view, while self-driving cars have sensors all around the car.

2. Both use this information to navigate safely

Once the cameras and sensors have gathered information about the environment, both self-driving cars and assistive technologies for pedestrian mobility use this information to navigate safely. For self-driving cars, this may involve identifying the location of other vehicles, pedestrians, and obstacles on the road and then determining the best course of action to avoid them. biped applies a similar process. It identifies obstacles on the ground or at the head-level, detects pedestrians and vehicles, and informs the end-user about the most dangerous elements.

3. Both use artificial intelligence to make decisions

Both self-driving cars and assistive technologies for pedestrian mobility use artificial intelligence (AI) to make decisions based on the information they have gathered. In the case of self-driving cars, this may involve using machine learning algorithms to analyze the data from the sensors and to determine the best course of action to take. For assistive technologies for pedestrian mobility, this may involve using AI to interpret the data from the cameras and to provide information to the user on the location of the dangers, so that the user takes the best decision accordingly.

4. Both aim to improve safety and independence

The ultimate goal of both self-driving cars and assistive technologies for pedestrian mobility is to improve safety and independence. For self-driving cars, this means reducing the number of accidents and fatalities on the road. For assistive technologies for pedestrian mobility, this means enabling blind and visually impaired individuals to move around safely and independently.

In conclusion, camera-based assistive technologies for pedestrian mobility like biped and self-driving cars are similar in many ways. Both technologies use cameras and other sensors to gather information about the environment, and both use artificial intelligence to make decisions based on this information. Ultimately, the goal of both technologies is to improve safety and independence for their users.

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