AI Radar Vision

Enhancing the Performance &
Capabilities of Radar Systems

EVIE AI Radar Vision

Evie’s AI-enhanced radar vision allows vehicles to perceive their environment using radio waves. This can be beneficial in challenging weather conditions such as rain, snow, or fog, where visual-based sensors like cameras or LiDAR may be limited. AI-enhanced radar sensors have longer-range capabilities compared to other visual sensors allowing autonomous vehicles to detect objects or obstacles from a greater distance. This can be particularly useful for high-speed driving scenarios or when navigating through complex environments. AI-enhanced radar vision can complement other sensors, such as cameras and radar, to provide a multi-modal perception system for autonomous vehicles.

Narrow AI, also known as weak AI, refers to AI systems designed to perform specific tasks or solve specific problems. Examples include image recognition systems, voice assistants like Siri or Alexa, and recommendation algorithms used by streaming platforms. General AI, also known as strong AI or artificial general intelligence, refers to AI systems that possess human-level intelligence and can perform any intellectual task that a human being can do. While we have made significant progress in narrow AI, achieving general AI remains a complex and ongoing research challenge.

In certain applications, radar systems can benefit from AI techniques. For example, AI algorithms can be applied to radar data to enhance object detection, tracking, and classification capabilities. By analysing the radar signals using AI, it is possible to improve accuracy, reduce false positives, and enable more sophisticated decision-making based on the detected objects.

Overall, radar and AI are distinct technologies, but when combined, they can enhance the capabilities and performance of radar systems.