Advances in vision-based lane detection: Algorithms, integration, assessment, and perspectives on ACP-based parallel vision
Lane detection is a fundamental aspect of most current advanced driver assistance systems
(ADASs). A large number of existing results focus on the study of vision-based lane …
(ADASs). A large number of existing results focus on the study of vision-based lane …
An automatic lane marking detection method with low-density roadside LiDAR data
Lane information is an essential part of high-resolution micro-traffic data (HRMTD). Most of
the lane detection algorithms for Light Detection and Ranging (LiDAR) are applied to high …
the lane detection algorithms for Light Detection and Ranging (LiDAR) are applied to high …
K-lane: Lidar lane dataset and benchmark for urban roads and highways
Lane detection is a critical function for autonomous driving. With the recent development of
deep learning and the publication of camera lane datasets and benchmarks, camera lane …
deep learning and the publication of camera lane datasets and benchmarks, camera lane …
Learning to detect 3d lanes by shape matching and embedding
R Liu, Z Guan, Z Yuan, A Liu, T Zhou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract 3D lane detection based on LiDAR point clouds is a challenging task that requires
precise locations, accurate topologies, and distinguishable instances. In this paper, we …
precise locations, accurate topologies, and distinguishable instances. In this paper, we …
Llformer: An efficient and real-time lidar lane detection method based on transformer
H Jie, X Zuo, J Gao, W Liu, J Hu, S Cheng - Proceedings of the 2023 5th …, 2023 - dl.acm.org
Lane detection has been one of the most important functions in the autonomous driving
perception module. Most of the current research require complex post-processing and curve …
perception module. Most of the current research require complex post-processing and curve …
Real-time deep convnet-based vehicle detection using 3d-lidar reflection intensity data
This paper addresses the problem of vehicle detection using a little explored LIDAR's
modality: the reflection intensity. LIDAR reflection measures the ratio of the received beam …
modality: the reflection intensity. LIDAR reflection measures the ratio of the received beam …
An automatic lane identification method for the roadside light detection and ranging sensor
Abstract The roadside Light Detection and Ranging (LiDAR) sensor can provide the high-
resolution micro traffic data (HRMTD) of all road users by collecting real-time point clouds in …
resolution micro traffic data (HRMTD) of all road users by collecting real-time point clouds in …
Temporal pulses driven spiking neural network for time and power efficient object recognition in autonomous driving
Accurate real-time object recognition from sensory data has long been a crucial and
challenging task for autonomous driving. Even though deep neural networks (DNNs) have …
challenging task for autonomous driving. Even though deep neural networks (DNNs) have …
Grid-based lane identification with roadside LiDAR data
J Wu, C Lv, H Yue - International Journal of Sensor …, 2022 - inderscienceonline.com
Lane identification is important for many different applications, especially for connected-
vehicle technologies. This paper presents a new method for lane identification with the …
vehicle technologies. This paper presents a new method for lane identification with the …
Row-wise lidar lane detection network with lane correlation refinement
Lane detection is one of the most important functions for autonomous driving. In recent
years, deep learning-based lane detection networks with RGB camera images have shown …
years, deep learning-based lane detection networks with RGB camera images have shown …