Fast Radio Map Construction by using Adaptive Path Loss Model Interpolation in Large-Scale Building. [PDF]
The radio map construction is usually time-consuming and labor-sensitive in indoor fingerprinting localization. We propose a fast construction method by using an adaptive path loss model interpolation.
Bi J +6 more
europepmc +2 more sources
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction [PDF]
High-definition (HD) map provides abundant and precise environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomous driving system.
Bencheng Liao +6 more
semanticscholar +1 more source
StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction [PDF]
High-Definition (HD) maps are essential for the safety of autonomous driving systems. While existing techniques employ camera images and onboard sensors to generate vectorized high-precision maps, they are constrained by their reliance on single-frame ...
Tianyuan Yuan +4 more
semanticscholar +1 more source
HDMapNet: An Online HD Map Construction and Evaluation Framework [PDF]
Constructing HD semantic maps is a central component of autonomous driving. However, traditional pipelines require a vast amount of human efforts and resources in annotating and maintaining the semantics in the map, which limits its scalability.
Qi Li, Yue Wang, Yilun Wang, Hang Zhao
semanticscholar +1 more source
The system ‘Construction Map’ is a web application developed with an aim to automate the manual procedures carried out in the field of construction. Using the application, every process that starts from searching and finding a consultancy can be automated.
null Arya Remanan +1 more
openaire +1 more source
End-to-End Vectorized HD-map Construction with Piecewise Bézier Curve [PDF]
Vectorized high-definition map (HD-map) construction, which focuses on the perception of centimeter-level environmental information, has attracted significant research inter-est in the autonomous driving community.
Limeng Qiao +3 more
semanticscholar +1 more source
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation [PDF]
Semantic map construction under bird's-eye view (BEV) plays an essential role in autonomous driving. In contrast to camera image, LiDAR provides the accurate 3D observations to project the captured 3D features onto BEV space inherently.
Song Wang +4 more
semanticscholar +1 more source
How Much Data Is Needed for Channel Knowledge Map Construction? [PDF]
Channel knowledge map (CKM) has been recently proposed to enable environment-aware communications by utilizing historical or simulation generated wireless channel data.
Xiaoli Xu, Yong Zeng
semanticscholar +1 more source
MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction [PDF]
This report introduces the 1st place winning solution for the Autonomous Driving Challenge 2023 - Online HD-map Construction. By delving into the vectorization pipeline, we elaborate an effective architecture, termed as MachMap, which formulates the task
Limeng Qiao +6 more
semanticscholar +1 more source
RH-Map: Online Map Construction Framework of Dynamic Object Removal Based on 3D Region-Wise Hash Map Structure [PDF]
Mobile robots navigating in outdoor environments frequently encounter the issue of undesired traces left by dynamic objects and manifested as obstacles on map, impeding robots from achieving accurate localization and effective navigation.
Zihong Yan +5 more
semanticscholar +1 more source

