1 citations · 1 across the 9 of their papers we have counts for
11 papers
SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching
Xiangzeng Liu, Chi Wang, Guanglu Shi +3
Local feature matching remains a fundamental challenge in computer vision. Recent Area to Point Matching (A2PM) methods have improved matching accuracy. However, existing research…
Traffic Signal Phase and Timing Estimation with Large-Scale Floating Car Data
Mingcheng Liao, Zebang Feng, Miao Fan +2
Effective modern transportation systems depend critically on accurate Signal Phase and Timing (SPaT) estimation. However, acquiring ground-truth SPaT information faces significant…
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…
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…
Learning to Generate Vectorized Maps at Intersections with Multiple Roadside Cameras
Quanxin Zheng, Miao Fan, Shengtong Xu +2
Vectorized maps are indispensable for precise navigation and the safe operation of autonomous vehicles. Traditional methods for constructing these maps fall into two categories: of…
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…
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…
Video-based Traffic Light Recognition by Rockchip RV1126 for Autonomous Driving
Miao Fan, Xuxu Kong, Shengtong Xu +2
Real-time traffic light recognition is fundamental for autonomous driving safety and navigation in urban environments. While existing approaches rely on single-frame analysis from…
A Benchmark for Vision-Centric HD Mapping by V2I Systems
Miao Fan, Shanshan Yu, Shengtong Xu +3
Autonomous driving faces safety challenges due to a lack of global perspective and the semantic information of vectorized high-definition (HD) maps. Information from roadside camer…
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…
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…