Log In Sign Up

Lane Detection with Versatile AtrousFormer and Local Semantic Guidance

by   Jiaxing Yang, et al.

Lane detection is one of the core functions in autonomous driving and has aroused widespread attention recently. The networks to segment lane instances, especially with bad appearance, must be able to explore lane distribution properties. Most existing methods tend to resort to CNN-based techniques. A few have a try on incorporating the recent adorable, the seq2seq Transformer <cit.>. However, their innate drawbacks of weak global information collection ability and exorbitant computation overhead prohibit a wide range of the further applications. In this work, we propose Atrous Transformer (AtrousFormer) to solve the problem. Its variant local AtrousFormer is interleaved into feature extractor to enhance extraction. Their collecting information first by rows and then by columns in a dedicated manner finally equips our network with stronger information gleaning ability and better computation efficiency. To further improve the performance, we also propose a local semantic guided decoder to delineate the identities and shapes of lanes more accurately, in which the predicted Gaussian map of the starting point of each lane serves to guide the process. Extensive results on three challenging benchmarks (CULane, TuSimple, and BDD100K) show that our network performs favorably against the state of the arts.


page 3

page 7

page 22


A Keypoint-based Global Association Network for Lane Detection

Lane detection is a challenging task that requires predicting complex to...

Lane detection with Position Embedding

Recently, lane detection has made great progress in autonomous driving. ...

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Lane detection is one of the most important tasks in self-driving. Due t...

Laneformer: Object-aware Row-Column Transformers for Lane Detection

We present Laneformer, a conceptually simple yet powerful transformer-ba...

Focus on Local: Detecting Lane Marker from Bottom Up via Key Point

Mainstream lane marker detection methods are implemented by predicting t...

PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer

Lane detection is one of the fundamental modules in self-driving. In thi...

Structure Guided Lane Detection

Recently, lane detection has made great progress with the rapid developm...