English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

High-Definition (HD) maps are essential for the safety of autonomous drivingsystems. While existing techniques employ camera images and onboard sensors togenerate vectorized high-precision maps, they are constrained by their relianceon single-frame input. This approach limits their stability and performance incomplex scenarios such as occlusions, largely due to the absence of temporalinformation. Moreover, their performance diminishes when applied to broaderperception ranges. In this paper, we present StreamMapNet, a novel onlinemapping pipeline adept at long-sequence temporal modeling of videos.StreamMapNet employs multi-point attention and temporal information whichempowers the construction of large-range local HD maps with high stability andfurther addresses the limitations of existing methods. Furthermore, wecritically examine widely used online HD Map construction benchmark anddatasets, Argoverse2 and nuScenes, revealing significant bias in the existingevaluation protocols. We propose to resplit the benchmarks according togeographical spans, promoting fair and precise evaluations. Experimentalresults validate that StreamMapNet significantly outperforms existing methodsacross all settings while maintaining an online inference speed of $14.2$ FPS.Our code is available at https://github.com/yuantianyuan01/StreamMapNet.

StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction