Radar and visual target matching fusion method of roadside sensing system

The invention discloses a radar and visual target matching fusion method of a roadside sensing system, which comprises the following steps of: S1, carrying out time and space alignment on a visual detection result and a radar detection result; S2, judging whether a target is in a high-confidence region; and S3, judging whether the visual detection result is matched with the radar detection result or not. According to the method, a common sensing area of different sensors is divided into a high-confidence area and a low-confidence area, then detection results of the different sensors are matched in the high-confidence area, association is kept all the time after matching is finished (leaving the high-confidence area), and therefore the high-precision and high-stability thundersight fusion effect is achieved. Compared with a data layer fusion algorithm and a feature layer fusion algorithm in the prior art, the method provided by the invention has the advantages of low complexity and higher efficiency. Moreover,