most citedPersonalized Route Recommendation Based on User Habits for Vehicle Navigation

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cs.RO2025

Multimodal HD Mapping for Intersections by Intelligent Roadside Units

Zhongzhang Chen, Miao Fan, Shengtong Xu +4

High-definition (HD) semantic mapping of complex intersections poses significant challenges for traditional vehicle-based approaches due to occlusions and limited perspectives. Thi…

cs.RO2025

End-to-End Generation of City-Scale Vectorized Maps by Crowdsourced Vehicles

Zebang Feng, Miao Fan, Bao Liu +2

High-precision vectorized maps are indispensable for autonomous driving, yet traditional LiDAR-based creation is costly and slow, while single-vehicle perception methods lack accur…

cs.RO2025

Semantic SLAM with Rolling-Shutter Cameras and Low-Precision INS in Outdoor Environments

Yuchen Zhang, Miao Fan, Shengtong Xu +2

Accurate localization and mapping in outdoor environments remains challenging when using consumer-grade hardware, particularly with rolling-shutter cameras and low-precision inerti…

cs.RO2025

A Concise Survey on Lane Topology Reasoning for HD Mapping

Yi Yao, Miao Fan, Shengtong Xu +4

Lane topology reasoning techniques play a crucial role in high-definition (HD) mapping and autonomous driving applications. While recent years have witnessed significant advances i…

cs.RO2024★ 1 cited

Personalized Route Recommendation Based on User Habits for Vehicle Navigation

Yinuo Huang, Xin Jin, Miao Fan +2

Navigation route recommendation is one of the important functions of intelligent transportation. However, users frequently deviate from recommended routes for various reasons, with…

cs.RO2024

Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles

Miao Fan, Yi Yao, Jianping Zhang +2

High-definition (HD) map is a fundamental component of autonomous driving systems, as it can provide precise environmental information about driving scenes. Recent work on vectoriz…