Maximilian Pittner — accepted AI-conference papers

2025

SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection

Maximilian Pittner, Joel Janai, Mario Faigle, Alexandru Paul Condurache

ICCV 2025poster

3D lane detection has emerged as a critical challenge in autonomous driving, encompassing identification and localization of lane markings and the 3D road surface. Conventional 3D methods detect lanes from dense birds-eye-viewed (BEV) features, though erroneous transformations often result in a poor…

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2024

LaneCPP: Continuous 3D Lane Detection using Physical Priors

Maximilian Pittner, Joel Janai, Alexandru P. Condurache

CVPR 2024poster

Monocular 3D lane detection has become a fundamental problem in the context of autonomous driving which comprises the tasks of finding the road surface and locating lane markings. One major challenge lies in a flexible but robust line representation capable of modeling complex lane structures while…

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