activity
20192023
most citedSelf-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data

4 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2023

Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation

Ruoyu Wang, Zixuan Guo, Yizhou Chen +2

Autonomous navigation in unknown environments with obstacles remains challenging for micro aerial vehicles (MAVs) due to their limited onboard computing and sensing resources. Alth…

cs.CV2023

Concavity-Induced Distance for Unoriented Point Cloud Decomposition

Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan +2

We propose Concavity-induced Distance (CID) as a novel way to measure the dissimilarity between a pair of points in an unoriented point cloud. CID indicates the likelihood of two p…

cs.CV2023★ 2 cited

PSDF for Neural Indoor Scene Reconstruction

Jing Li, Jinpeng Yu, Ruoyu Wang +4

Given only a set of images, neural implicit surface representation has shown its capability in 3D surface reconstruction. However, as the nature of per-scene optimization is based…

cs.RO2023

Sampling-based path planning under temporal logic constraints with real-time adaptation

Yizhou Chen, Ruoyu Wang, Xinyi Wang +1

Replanning in temporal logic tasks is extremely difficult during the online execution of robots. This study introduces an effective path planner that computes solutions for tempora…

cs.CV2022★ 3 cited

PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes

Ruoyu Wang, Zehao Yu, Shenghua Gao

Multiple near frontal-parallel planes based depth representation demonstrated impressive results in self-supervised monocular depth estimation (MDE). Whereas, such a representation…

cs.CV2022★ 4 cited

Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data

Chao Chen, Zegang Cheng, Xinhao Liu +4

Visual place recognition (VPR) using deep networks has achieved state-of-the-art performance. However, most of them require a training set with ground truth sensor poses to obtain…

cs.RO2021

Deep Weakly Supervised Positioning

Ruoyu Wang, Xuchu Xu, Li Ding +2

PoseNet can map a photo to the position where it is taken, which is appealing in robotics. However, training PoseNet requires full supervision, where ground truth positions are non…

cs.CV2020★ 1 cited

SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings

Wenyu Han, Siyuan Xiang, Chenhui Liu +2

Spatial reasoning is an important component of human intelligence. We can imagine the shapes of 3D objects and reason about their spatial relations by merely looking at their three…

cs.RO2019★ 3 cited

Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

Ruoyu Wang, Shiheng Wang, Songyu Du +3

Soft bodies made from flexible and deformable materials are popular in many robotics applications, but their proprioceptive sensing has been a long-standing challenge. In other wor…