activity
20242026
most citedFMCW-LIO: A Doppler LiDAR-Inertial Odometry

14 citations · 19 across the 7 of their papers we have counts for

collaborators

9 papers

cs.RO2026★ 3 cited

Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems

Mingle Zhao, Jiahao Wang, Tianxiao Gao +2

Robust initialization is crucial for online systems. In the letter, a high-frequency and resilient initialization framework is designed for LiDAR-inertial systems, leveraging both…

cs.RO2026★ 14 cited

FMCW-LIO: A Doppler LiDAR-Inertial Odometry

Mingle Zhao, Jiahao Wang, Tianxiao Gao +2

Conventional LiDAR-inertial odometry (LIO) or simultaneous localization and mapping (SLAM) methods heavily rely on geometric features of environments, as LiDARs primarily provide r…

cs.CV2026

Learning 1-Bit LiDAR-based Localization with Auxiliary Objective

Kaijie Yin, Zhiyuan Zhang, Tian Gao +3

6-DoF LiDAR-based localization is a fundamental capability for autonomous systems operating in large-scale outdoor environments. Many deep-learning-based localization methods have…

cs.CV2025

Information-Bottleneck Driven Binary Neural Network for Change Detection

Kaijie Yin, Zhiyuan Zhang, Shu Kong +3

In this paper, we propose Binarized Change Detection (BiCD), the first binary neural network (BNN) designed specifically for change detection. Conventional network binarization app…

cs.CV2025

High-Fidelity Differential-information Driven Binary Vision Transformer

Tian Gao, Zhiyuan Zhang, Kaijie Yin +2

The binarization of vision transformers (ViTs) offers a promising approach to addressing the trade-off between high computational/storage demands and the constraints of edge-device…

cs.CV2025★ 2 cited

BHViT: Binarized Hybrid Vision Transformer

Tian Gao, Zhiyuan Zhang, Yu Zhang +4

Model binarization has made significant progress in enabling real-time and energy-efficient computation for convolutional neural networks (CNN), offering a potential solution to th…

cs.RO2025

Night-Voyager: Consistent and Efficient Nocturnal Vision-Aided State Estimation in Object Maps

Tianxiao Gao, Mingle Zhao, Chengzhong Xu +1

Accurate and robust state estimation at nighttime is essential for autonomous robotic navigation to achieve nocturnal or round-the-clock tasks. An intuitive question arises: Can lo…

cs.CV2024

Pathfinder for Low-altitude Aircraft with Binary Neural Network

Kaijie Yin, Tian Gao, Hui Kong

A prior global topological map (e.g., the OpenStreetMap, OSM) can boost the performance of autonomous mapping by a ground mobile robot. However, the prior map is usually incomplete…

cs.RO2024

Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering

Tianxiao Gao, Mingle Zhao, Chengzhong Xu +1

Vision-aided localization for low-cost mobile robots in diverse environments has attracted widespread attention recently. Although many current systems are applicable in daytime en…