The field of autonomous driving has made considerable strides in the past decade with the advent of cost-effective sensors and improved computing capabilities. For these systems to be adopted by the masses, they must consistently perform better than human drivers in all driving conditions. While existing vehicle sensors offer important information about a vehicle’s surroundings, there have been several documented cases in which these sensors did not analyze their environment properly, leading to collisions.
Based on probability theory, the more information available to a sensory system, the more accurately it will be able to yield measurements. In the case of autonomous driving, this means more information will allow the driving environment to be perceived properly, leading to more educated driving decisions. Infrared (IR) cameras, or thermal imaging cameras, are not currently used in commercial autonomous driving sensory systems. These sensors can offer additional information to existing autonomous driving sensory systems, leading to improved performance in identification of objects within a vehicle’s surroundings and better driving reactions.
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