3 citations · 10 across the 13 of their papers we have counts for
22 papers
BEV-ODOM: Reducing Scale Drift in Monocular Visual Odometry with BEV Representation
Yufei Wei, Sha Lu, Fuzhang Han +2
Monocular visual odometry (MVO) is vital in autonomous navigation and robotics, providing a cost-effective and flexible motion tracking solution, but the inherent scale ambiguity i…
Scale Disparity of Instances in Interactive Point Cloud Segmentation
Chenrui Han, Xuan Yu, Yuxuan Xie +5
Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, the…
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction
Xuan Yu, Yili Liu, Chenrui Han +5
Panoptic reconstruction is a challenging task in 3D scene understanding. However, most existing methods heavily rely on pre-trained semantic segmentation models and known 3D object…
-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction
Yunxuan Mao, Bingqi Shen, Yifei Yang +4
The joint optimization of the sensor trajectory and 3D map is a crucial characteristic of bundle adjustment (BA), essential for autonomous driving. This paper presents -DBA, a n…
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System
Jintao Xue, Dongkun Zhang, Rong Xiong +2
Multi-Agent Reinforcement Learning (MARL) has become a promising solution for constructing a multi-agent autonomous driving system (MADS) in complex and dense scenarios. But most m…
CNS: Correspondence Encoded Neural Image Servo Policy
Anzhe Chen, Hongxiang Yu, Yue Wang +1
Image servo is an indispensable technique in robotic applications that helps to achieve high precision positioning. The intermediate representation of image servo policy is importa…