CRadar.Ai is a developer and provider of highly accurate and powerful radar systems detecting objects and obstacles in the vicinity of a vehicle. The company’s technology exploits electromagnetic information that is statistically independent of visual data, thereby determining material composition, classification, and recognition of objects through electromagnetic mapping.
As Principal Investigator, Dr. Lavian has researched building accurate radar systems for autonomous vehicles. Accurate radars are a fundamental safety requirement for self-driving cars. These radars can ‘see’ what cameras and LiDars cannot, whether due to fog, rain, snow, direct sunlight, or darkness.
Cradar.Ai has improved the radar’s wireless signal purity by 100x while achieving a 100x cost reduction. The result is a Radar with superior wireless signal quality, which provides high radar accuracy while also enabling genuine redundancy, sensory fusion, and spatial awareness, placing the radar into the sensory spearhead.