2022
DOI: 10.1109/jstars.2022.3204306
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Bending the Curve of HD Maps Production for Autonomous Vehicle Applications in Taiwan

Abstract: Mapping technologies have improved over time, and autonomous driving techniques have advanced substantially over recent decades. High-definition (HD) maps are key for autonomous driving because of their accurate and rich interpretations of road scenes. HD maps provide information about road features, such as lane lines, centerlines, traffic signs, and traffic lights, to help autonomous vehicles navigate safely. HD maps have three major challenges: the standardization of the format of HD maps, conversion betwee… Show more

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Cited by 7 publications
(2 citation statements)
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“…Despite this, subsequent stages such as map construction, digitization, and additional mapping tasks largely remain manual processes that consume considerable time and manpower (Mi et al, 2021). Consequently, cost reduction in HD Maps production emerges as an essential topic in the furtherance of autonomous vehicle technology (Chiang et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Despite this, subsequent stages such as map construction, digitization, and additional mapping tasks largely remain manual processes that consume considerable time and manpower (Mi et al, 2021). Consequently, cost reduction in HD Maps production emerges as an essential topic in the furtherance of autonomous vehicle technology (Chiang et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…com) offers HD maps with multiple layers, which includes road model, lane model, and localization model with 20 relative accuracy (Liu et al, 2020). As for HD maps in Asian countries such as Japan and Korea require horizontal and vertical accuracy of 25 and 35 cm, respectively (Chiang et al, 2022). In Taiwan, HD maps require horizontal and vertical accuracy of 20 and 30 cm, respectively (HD maps operation guideline v2, 2019).…”
Section: Introductionmentioning
confidence: 99%