Latr: 3d lane detection from monocular images with transformer
Abstract 3D lane detection from monocular images is a fundamental yet challenging task in
autonomous driving. Recent advances primarily rely on structural 3D surrogates (eg, bird's …
autonomous driving. Recent advances primarily rely on structural 3D surrogates (eg, bird's …
A hybrid spatial–temporal deep learning architecture for lane detection
Accurate and reliable lane detection is vital for the safe performance of lane‐keeping
assistance and lane departure warning systems. However, under certain challenging …
assistance and lane departure warning systems. However, under certain challenging …
Adaptive multi-lane detection based on robust instance segmentation for intelligent vehicles
Y Sun, J Li, X Xu, Y Shi - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Recent advances in lane detection based on deep neural networks have enhanced the
detection performance of intelligent vehicles under different traffic scenes. However, it's still …
detection performance of intelligent vehicles under different traffic scenes. However, it's still …
LLDNet: a lightweight lane detection approach for autonomous cars using deep learning
Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post …
Traditional lane detection methods need extensive hand-crafted features and post …
Learning to predict 3d lane shape and camera pose from a single image via geometry constraints
Detecting 3D lanes from the camera is a rising problem for autonomous vehicles. In this task,
the correct camera pose is the key to generating accurate lanes, which can transform an …
the correct camera pose is the key to generating accurate lanes, which can transform an …
Rclane: Relay chain prediction for lane detection
Lane detection is an important component of many real-world autonomous systems. Despite
a wide variety of lane detection approaches have been proposed, reporting steady …
a wide variety of lane detection approaches have been proposed, reporting steady …
Curveformer: 3d lane detection by curve propagation with curve queries and attention
3D lane detection is an integral part of au-tonomous driving systems. Previous CNN and
Transformer-based methods usually first generate a bird's-eye-view (BEV) feature map from …
Transformer-based methods usually first generate a bird's-eye-view (BEV) feature map from …
Physical backdoor attacks to lane detection systems in autonomous driving
Modern autonomous vehicles adopt state-of-the-art DNN models to interpret the sensor data
and perceive the environment. However, DNN models are vulnerable to different types of …
and perceive the environment. However, DNN models are vulnerable to different types of …
Sparse Point Guided 3D Lane Detection
Abstract 3D lane detection usually builds a dense correspondence between the front-view
space and the BEV space to estimate lane points in the 3D space. 3D lanes only occupy a …
space and the BEV space to estimate lane points in the 3D space. 3D lanes only occupy a …
Multitask knowledge distillation guides end-to-end lane detection
H Pan, X Chang, W Sun - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Autonomous driving has witnessed rapid development with the application of artificial
intelligence technology in recent years. Lane detection is one of the tasks of environment …
intelligence technology in recent years. Lane detection is one of the tasks of environment …