Mind the map! Accounting for existing map information when estimating online HDMaps from sensor data

R Sun, L Yang, D Lingrand, F Precioso - arXiv preprint arXiv:2311.10517, 2023 - arxiv.org
Online High Definition Map (HDMap) estimation from sensors offers a low-cost alternative to
manually acquired HDMaps. As such, it promises to lighten costs for already HDMap-reliant …

Vi-map: Infrastructure-assisted real-time hd mapping for autonomous driving

Y He, C Bian, J Xia, S Shi, Z Yan, Q Song… - Proceedings of the 29th …, 2023 - dl.acm.org
HD map is a key enabling technology towards fully autonomous driving. We propose VI-
Map, the first system that leverages roadside infrastructure to enhance real-time HD …

EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods

H Xiong, J Shen, T Zhu, Y Pan - arXiv preprint arXiv:2402.18278, 2024 - arxiv.org
High-definition (HD) map is crucial for autonomous driving systems. Most existing works
design map elements detection heads based on the DETR decoder. However, the initial …

P-MapNet: Far-seeing map generator enhanced by both SDMap and HDMap priors

Z Jiang, Z Zhu, P Li, H Gao, T Yuan, Y Shi… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous vehicles are gradually entering city roads today, with the help of high-definition
maps (HDMaps). However, the reliance on HDMaps prevents autonomous vehicles from …

Maptrv2: An end-to-end framework for online vectorized hd map construction

B Liao, S Chen, Y Zhang, B Jiang, Q Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
High-definition (HD) map provides abundant and precise static environmental information of
the driving scene, serving as a fundamental and indispensable component for planning in …

Hdmapnet: An online hd map construction and evaluation framework

Q Li, Y Wang, Y Wang, H Zhao - 2022 International Conference …, 2022 - ieeexplore.ieee.org
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 …

Maptr: Structured modeling and learning for online vectorized hd map construction

B Liao, S Chen, X Wang, T Cheng, Q Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
High-definition (HD) map provides abundant and precise environmental information of the
driving scene, serving as a fundamental and indispensable component for planning in …

Machmap: End-to-end vectorized solution for compact hd-map construction

L Qiao, Y Zheng, P Zhang, W Ding, X Qiu, X Wei… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction

W Gao, J Fu, H Jing, N Zheng - arXiv preprint arXiv:2308.15427, 2023 - arxiv.org
High-Definition (HD) maps play a crucial role in autonomous driving systems. Recent
methods have attempted to construct HD maps in real-time based on information obtained …

Automatic building and labeling of hd maps with deep learning

M Elhousni, Y Lyu, Z Zhang, X Huang - Proceedings of the AAAI …, 2020 - ojs.aaai.org
In a world where autonomous driving cars are becoming increasingly more common,
creating an adequate infrastructure for this new technology is essential. This includes …