This work introduces RADIUS, a framework for anomaly detection in sewer pipes using stereovision. The employs three-dimensional geometry reconstruction from stereo vision, followed by statistical modeling of the with generic pipe model. is designed to be compatible existing workflows defect detection, as well provide opportunities machine learning implementations future. We test on 48 image set...