Lane2Seq: Towards Unified Lane Detection via Sequence Generation

arXiv:2402.17172v1 Announce Type: new
Abstract: In this paper, we present a novel sequence generation-based framework for lane detection, called Lane2Seq. It unifies various lane detection formats by casting lane detection as a sequence generation task. This is different from previous lane detection methods, which depend on well-designed task-specific head networks and corresponding loss functions. Lane2Seq only adopts a plain transformer-based encoder-decoder architecture with a simple cross-entropy loss. Additionally, we propose a new multi-format model tuning based on reinforcement learning to …

abstract arxiv cs.cv detection detection methods framework head lane detection networks novel paper type via