Grouplane: End-to-end 3d lane detection with channel-wise grouping
Efficiency is quite important for 3D lane detection due to practical deployment demand. In
this work, we propose a simple, fast, and end-to-end detector that still maintains high …
this work, we propose a simple, fast, and end-to-end detector that still maintains high …
Topology-Guided Road Graph Extraction From Remote Sensing Images
Road maps are widely used in traffic management, vehicle navigation, urban planning, and
other fields. However, automatically extracting road graphs from remote sensing images is …
other fields. However, automatically extracting road graphs from remote sensing images is …
Online vectorized hd map construction using geometry
The construction of online vectorized High-Definition (HD) maps is critical for downstream
prediction and planning. Recent efforts have built strong baselines for this task, however …
prediction and planning. Recent efforts have built strong baselines for this task, however …
End-to-end lane detection with one-to-several transformer
K Zhou, R Zhou - arXiv preprint arXiv:2305.00675, 2023 - arxiv.org
Although lane detection methods have shown impressive performance in real-world
scenarios, most of methods require post-processing which is not robust enough. Therefore …
scenarios, most of methods require post-processing which is not robust enough. Therefore …
Multi-lane detection by combining line anchor and feature shift for urban traffic management
Lane detection is a fundamental task in urban traffic management. Like lane detection for
automatic driving, lane detection for traffic management will be faced with common …
automatic driving, lane detection for traffic management will be faced with common …
A real‐time lane detection network using two‐directional separation attention
L Zhang, F Jiang, J Yang, B Kong… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Real‐time network by adopting attention mechanism is helpful for enhancing lane detection
capability of autonomous vehicles. This paper proposes a real‐time lane detection network …
capability of autonomous vehicles. This paper proposes a real‐time lane detection network …
Flamnet: A flexible line anchor mechanism network for lane detection
Lane detection is critical for intelligent vehicles to sense drivable areas. Compared to
general objects, lane lines are slender-shaped, easily occluded, or defaced. Therefore, the …
general objects, lane lines are slender-shaped, easily occluded, or defaced. Therefore, the …
Lane detection with versatile atrousformer and local semantic guidance
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 …
widespread attention recently. The networks to segment lane instances, especially with bad …
Point2Lane: Polyline-based reconstruction with principal points for lane detection
In this work, we observed that a nonlinear line could be expressed with a set of linear lines.
We propose a novel lane detection method with polyline-based reconstruction based on this …
We propose a novel lane detection method with polyline-based reconstruction based on this …
Bsnet: Lane detection via draw b-spline curves nearby
H Chen, M Wang, Y Liu - arXiv preprint arXiv:2301.06910, 2023 - arxiv.org
Curve-based methods are one of the classic lane detection methods. They learn the holistic
representation of lane lines, which is intuitive and concise. However, their performance lags …
representation of lane lines, which is intuitive and concise. However, their performance lags …