5 citations · 9 across the 5 of their papers we have counts for
5 papers
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation
Jinyu Miao, Kun Jiang, Tuopu Wen +8
Monocular Re-Localization (MRL) is a critical component in autonomous applications, estimating 6 degree-of-freedom ego poses w.r.t. the scene map based on monocular images. In rece…
Poses as Queries: Image-to-LiDAR Map Localization with Transformers
Jinyu Miao, Kun Jiang, Yunlong Wang +6
High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks. Localization with a monocular camera in LiDAR map is a ne…
Map Container: A Map-based Framework for Cooperative Perception
Kun Jiang, Yining Shi, Benny Wijaya +4
The idea of cooperative perception is to benefit from shared perception data between multiple vehicles and overcome the limitations of on-board sensors on single vehicle. However,…
Multi-layer VI-GNSS Global Positioning Framework with Numerical Solution aided MAP Initialization
Bing Han, Zhongyang Xiao, Shuai Huang +1
Motivated by the goal of achieving long-term drift-free camera pose estimation in complex scenarios, we propose a global positioning framework fusing visual, inertial and Global Na…
Monocular Vehicle Self-localization method based on Compact Semantic Map
Zhongyang Xiao, Kun Jiang, Shichao Xie +3
High precision localization is a crucial requirement for the autonomous driving system. Traditional positioning methods have some limitations in providing stable and accurate vehic…