Social Perception of Autonomous Vehicles

Adaptive Perception for Autonomous Vehicles

A new approach to autonomous vehicle perception is presented which solves the historically significant throughput problem at contemporary speeds through computational stabilization of the sensor sweep. This adaptive approach to perception has made it possible to achieve unprecedented autonomous vehicle speeds at little or no cost to other aspects of performance. In order to measure the local en...

Perception through Scattering Media for Autonomous Vehicles

The perception of the environment is a fundamental task for autonomous robots. Unfortunately, the performances of the vision systems are drastically altered in presence of bad weather, especially fog. Indeed, due to the scattering of light by atmospheric particles, the quality of the light signal is reduced, compared to what it is in clean air. Detecting and quantifying these degradations, even...

Radar-based perception for autonomous outdoor vehicles

Autonomous vehicle operations in outdoor environments challenge robotic perception. Construction, mining, agriculture, and planetary exploration environments are examples in which the presence of dust, fog, rain, changing illumination due to low sun angles, and lack of contrast can dramatically degrade conventional stereo and laser sensing. Nonetheless, environment perception can still succeed ...

The social dilemma of autonomous vehicles.

Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of ut...

Commentary: The Social Dilemma of Autonomous Vehicles