Centerlinedet: Centerline graph detection for road lanes with vehicle-mounted sensors by transformer for hd map generation
With the fast development of autonomous driving technologies, there is an increasing
demand for high-definition (HD) maps, which provide reliable and robust prior information …
demand for high-definition (HD) maps, which provide reliable and robust prior information …
csboundary: City-scale road-boundary detection in aerial images for high-definition maps
High-Definition (HD) maps can provide precise geometric and semantic information of static
traffic environments for autonomous driving. Road-boundary is one important information …
traffic environments for autonomous driving. Road-boundary is one important information …
Semantic Bird's-Eye View Road Line Mapping
M Bellusci, P Cudrano, S Mentasti… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
The development of Autonomous Vehicles (AVs) today requires precise and reliable
detection of road line markings. Indeed, recognizing road line markings from camera images …
detection of road line markings. Indeed, recognizing road line markings from camera images …
Building lane-level maps from aerial images
Detecting lane lines from sensors is becoming an increasingly significant part of
autonomous driving systems. However, less development has been made on high-definition …
autonomous driving systems. However, less development has been made on high-definition …
Quality-guided lane detection by deeply modeling sophisticated traffic context
G Zhang, C Yan, J Wang - Signal Processing: Image Communication, 2020 - Elsevier
Lane detection is a useful technique in modern autonomous vehicles systems, which assists
vehicle to accurately localize itself according to detected road lines. Traditional methods …
vehicle to accurately localize itself according to detected road lines. Traditional methods …
Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps
Accurate high-definition maps with lane markings are often used as the navigation back-end
for commercial autonomous vehicles. Currently, most high-definition maps are manually …
for commercial autonomous vehicles. Currently, most high-definition maps are manually …
Lane boundary extraction from satellite imagery
Automated driving is becoming a reality. In this new reality, High Definition (HD) Maps play
an important role in path planning and vehicle localization. Lane boundary geometry is one …
an important role in path planning and vehicle localization. Lane boundary geometry is one …
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 …
[PDF][PDF] Improved Lane Detection Method Based on Convolutional Neural Network Using Self-attention Distillation.
X Zhang, H Huang, W Meng, D Luo - Sensors & Materials, 2020 - pdfs.semanticscholar.org
With the rapid development of autopilot technology and various types of sensor,
highprecision maps containing a large amount of information for assisting driving have been …
highprecision maps containing a large amount of information for assisting driving have been …
Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection
Z Chen, Q Liu, C Lian - 2019 IEEE intelligent vehicles …, 2019 - ieeexplore.ieee.org
Lane detection is crucial for driving assistance systems such as lane keeping assist (LKA)
and lane departure warning (LDW). In the conventional method, image processing …
and lane departure warning (LDW). In the conventional method, image processing …