works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CV2026

4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception

Xiaokai Bai, Lianqing Zheng, Runwei Guan +3

The paper introduces a 4D radar‑camera framework that jointly performs 3D object detection and dense occupancy prediction by modeling occupancy as a persistent scene state and usin…

cs.CV2026

RC-GeoCP: Geometric Consensus for Radar-Camera Collaborative Perception

Xiaokai Bai, Lianqing Zheng, Runwei Guan +3

Collaborative perception (CP) improves scene understanding through multi-agent information sharing, yet LiDAR-centric systems remain costly and vulnerable in adverse weather. Camer…

cs.CV2025

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization

Chenghao Zhang, Lun Luo, Si-Yuan Cao +6

LiDAR-based global localization is an essential component of simultaneous localization and mapping (SLAM), which helps loop closure and re-localization. Current approaches rely on…

cs.CV2025

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction

Runmin Zhang, Zhu Yu, Si-Yuan Cao +4

This work presents SGCDet, a novel multi-view indoor 3D object detection framework based on adaptive 3D volume construction. Unlike previous approaches that restrict the receptive…

cs.RO2025

BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles

Lun Luo, Si-Yuan Cao, Xiaorui Li +4

This article introduces BEVPlace++, a novel, fast, and robust LiDAR global localization method for unmanned ground vehicles. It uses lightweight convolutional neural networks (CNNs…

cs.CV2025

Decoupled Geometric Parameterization and its Application in Deep Homography Estimation

Yao Huang, Si-Yuan Cao, Yaqing Ding +8

Planar homography, with eight degrees of freedom (DOFs), is fundamental in numerous computer vision tasks. While the positional offsets of four corners are widely adopted (especial…