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 …
CLRerNet: improving confidence of lane detection with LaneIoU
Lane marker detection is a crucial component of the autonomous driving and driver
assistance systems. Modern deep lane detection methods with anchor-based lane …
assistance systems. Modern deep lane detection methods with anchor-based lane …
Dense hybrid proposal modulation for lane detection
In this paper, we present a dense hybrid proposal modulation (DHPM) method for lane
detection. Most existing methods perform sparse supervision on a subset of high-scoring …
detection. Most existing methods perform sparse supervision on a subset of high-scoring …
Adnet: Lane shape prediction via anchor decomposition
In this paper, we revisit the limitations of anchor-based lane detection methods, which have
predominantly focused on fixed anchors that stem from the edges of the image, disregarding …
predominantly focused on fixed anchors that stem from the edges of the image, disregarding …
Towards driving-oriented metric for lane detection models
Abstract After the 2017 TuSimple Lane Detection Challenge, its dataset and evaluation
based on accuracy and F1 score have become the de facto standard to measure the …
based on accuracy and F1 score have become the de facto standard to measure the …
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 …
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 …
HoughLaneNet: Lane detection with deep hough transform and dynamic convolution
The task of lane detection has garnered considerable attention in the field of autonomous
driving due to its complexity. Lanes can present difficulties for detection, as they can be …
driving due to its complexity. Lanes can present difficulties for detection, as they can be …
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 …
Improving lane detection with adaptive homography prediction
Y Chen, Z Xiang, W Du - The Visual Computer, 2023 - Springer
Lane marks regulate the routes and define the prior drivable areas for a vehicle. Robust
detection of lanes plays a vital role in intelligent vehicle navigation. Lane detection …
detection of lanes plays a vital role in intelligent vehicle navigation. Lane detection …