Machmap: End-to-end vectorized solution for compact hd-map construction
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 …
2023-Online HD-map Construction. By delving into the vectorization pipeline, we elaborate …
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 …
design map elements detection heads based on the DETR decoder. However, the initial …
Maptr: Structured modeling and learning for online vectorized hd map construction
High-definition (HD) map provides abundant and precise environmental information of the
driving scene, serving as a fundamental and indispensable component for planning in …
driving scene, serving as a fundamental and indispensable component for planning in …
Maptrv2: An end-to-end framework for online vectorized hd map construction
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 …
the driving scene, serving as a fundamental and indispensable component for planning in …
Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
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 …
methods have attempted to construct HD maps in real-time based on information obtained …
Mgmap: Mask-guided learning for online vectorized hd map construction
Currently high-definition (HD) map construction leans towards a lightweight online
generation tendency which aims to preserve timely and reliable road scene information …
generation tendency which aims to preserve timely and reliable road scene information …
MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction
T Li - arXiv preprint arXiv:2401.07323, 2024 - arxiv.org
High-Definition (HD) maps are pivotal to autopilot navigation. Integrating the capability of
lightweight HD map construction at runtime into a self-driving system recently emerges as a …
lightweight HD map construction at runtime into a self-driving system recently emerges as a …
Scalablemap: Scalable map learning for online long-range vectorized hd map construction
J Yu, Z Zhang, S Xia, J Sang - arXiv preprint arXiv:2310.13378, 2023 - arxiv.org
We propose a novel end-to-end pipeline for online long-range vectorized high-definition
(HD) map construction using on-board camera sensors. The vectorized representation of HD …
(HD) map construction using on-board camera sensors. The vectorized representation of HD …
Insightmapper: A closer look at inner-instance information for vectorized high-definition mapping
Vectorized high-definition (HD) maps contain detailed information about surrounding road
elements, which are crucial for various downstream tasks in modern autonomous driving …
elements, which are crucial for various downstream tasks in modern autonomous driving …
Hdmapnet: An online hd map construction and evaluation framework
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 …
traditional pipelines require a vast amount of human efforts and resources in annotating and …