PersFormer is a deep learning-based 3D lane detection system published at ECCV 2022 (Oral). It uses a Transformer-based spatial feature transformation module to generate bird’s-eye view features from front-view camera input, enabling accurate 3D lane detection from monocular images. The model was evaluated on the OpenLane benchmark and represents a state-of-the-art approach for this detection task in autonomous driving applications.