Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Inter-region affinity distillation for road marking segmentation
We study the problem of distilling knowledge from a large deep teacher network to a much
smaller student network for the task of road marking segmentation. In this work, we explore a …
smaller student network for the task of road marking segmentation. In this work, we explore a …
Road object detection for HD map: Full-element survey, analysis and perspectives
As the key part of autonomous driving (AD), High-Definition (HD) map provides more precise
location and rich semantic information than the traditional map. With the development of AD …
location and rich semantic information than the traditional map. With the development of AD …
Multivehicle cooperative driving using cooperative perception: Design and experimental validation
In this paper, we present a multivehicle cooperative driving system architecture using
cooperative perception along with experimental validation. For this goal, we first propose a …
cooperative perception along with experimental validation. For this goal, we first propose a …
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 …
Yolov5 series algorithm for road marking sign identification
Road markings and signs provide vehicles and pedestrians with essential information that
assists them to follow the traffic regulations. Road surface markings include pedestrian …
assists them to follow the traffic regulations. Road surface markings include pedestrian …
Using mobile LiDAR data for rapidly updating road markings
Updating road markings is one of the routine tasks of transportation agencies. Compared
with traditional road inventory mapping techniques, vehicle-borne mobile light detection and …
with traditional road inventory mapping techniques, vehicle-borne mobile light detection and …
Automatic road-marking detection and measurement from laser-scanning 3D profile data
D Zhang, X Xu, H Lin, R Gui, M Cao, L He - Automation in Construction, 2019 - Elsevier
Automatic road-marking detection and measurement have great significance for pavement
maintenance and management. Laser-scanning 3D profile data provide a new way of road …
maintenance and management. Laser-scanning 3D profile data provide a new way of road …
Mark yourself: Road marking segmentation via weakly-supervised annotations from multimodal data
This paper presents a weakly-supervised learning system for real-time road marking
detection using images of complex urban environments obtained from a monocular camera …
detection using images of complex urban environments obtained from a monocular camera …