12 citations · 35 across the 26 of their papers we have counts for
26 papers
Convex Hull-based Algebraic Constraint for Visual Quadric SLAM
Xiaolong Yu, Junqiao Zhao, Shuangfu Song +4
Using Quadrics as the object representation has the benefits of both generality and closed-form projection derivation between image and world spaces. Although numerous constraints…
MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
Qiwen Gu, Xufei Wang, Junqiao Zhao +4
Visual Place Recognition (VPR) enables robust localization through image retrieval based on learned descriptors. However, drastic appearance variations of images at the same place…
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis
Kai Huang, Junqiao Zhao, Jiaye Lin +4
Uncertainty in LiDAR measurements, stemming from factors such as range sensing, is crucial for LIO (LiDAR-Inertial Odometry) systems as it affects the accurate weighting in the los…
N-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping
Shuangfu Song, Junqiao Zhao, Kai Huang +3
Accurate and dense mapping in large-scale environments is essential for various robot applications. Recently, implicit neural signed distance fields (SDFs) have shown promising adv…
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
Hai Zhang, Hang Yu, Junqiao Zhao +5
Designing and deriving effective model-based reinforcement learning (MBRL) algorithms with a performance improvement guarantee is challenging, mainly attributed to the high couplin…
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
Gengxuan Tian, Junqiao Zhao, Yingfeng Cai +3
LiDAR-based place recognition plays a crucial role in Simultaneous Localization and Mapping (SLAM) and LiDAR localization. Despite the emergence of various deep learning-based and…
LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Kai Huang, Junqiao Zhao, Zhongyang Zhu +2
Local geometric information, i.e. normal and distribution of points, is crucial for LiDAR-based simultaneous localization and mapping (SLAM) because it provides constraints for dat…
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
Xiao Zhang, Hai Zhang, Hongtu Zhou +4
Safety is one of the main challenges in applying reinforcement learning to realistic environmental tasks. To ensure safety during and after training process, existing methods tend…
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
Junqiao Zhao, Fenglin Zhang, Yingfeng Cai +4
Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame. To improve the robustness of VPR in perceptu…
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking
Zhongyang Zhu, Junqiao Zhao, Kai Huang +3
Simultaneous localization and mapping (SLAM) is critical to the implementation of autonomous driving. Most LiDAR-inertial SLAM algorithms assume a static environment, leading to un…
DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization
Xuebo Tian, Zhongyang Zhu, Junqiao Zhao +2
Ego-pose estimation and dynamic object tracking are two critical problems for autonomous driving systems. The solutions to these problems are generally based on their respective as…
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization
Xuebo Tian, Junqiao Zhao, Chen Ye
Ego-pose estimation and dynamic object tracking are two key issues in an autonomous driving system. Two assumptions are often made for them, i.e. the static world assumption of sim…
Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition
Yingfeng Cai, Junqiao Zhao, Jiafeng Cui +3
Visual Place Recognition (VPR) in areas with similar scenes such as urban or indoor scenarios is a major challenge. Existing VPR methods using global descriptors have difficulty ca…
Scale Estimation with Dual Quadrics for Monocular Object SLAM
Shuangfu Song, Junqiao Zhao, Tiantian Feng +2
The scale ambiguity problem is inherently unsolvable to monocular SLAM without the metric baseline between moving cameras. In this paper, we present a novel scale estimation approa…
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition
Jiafeng Cui, Tengfei Huang, Yingfeng Cai +3
LiDAR-based place recognition is an essential and challenging task both in loop closure detection and global relocalization. We propose Deep Scan Context (DSC), a general and discr…
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Jianfeng Li, Junqiao Zhao, Shuangfu Song +1
Estimating geometric elements such as depth, camera motion, and optical flow from images is an important part of the robot's visual perception. We use a joint self-supervised metho…
Dense Dual-Path Network for Real-time Semantic Segmentation
Xinneng Yang, Yan Wu, Junqiao Zhao +1
Semantic segmentation has achieved remarkable results with high computational cost and a large number of parameters. However, real-world applications require efficient inference sp…
Occlusion Aware Unsupervised Learning of Optical Flow From Video
Jianfeng Li, Junqiao Zhao, Tiantian Feng +2
In this paper, we proposed an unsupervised learning method for estimating the optical flow between video frames, especially to solve the occlusion problem. Occlusion is caused by t…
Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers
Zhuoping Yu, Xiaozhou Ren, Yuyao Huang +2
Accurate detection of lane and road markings is a task of great importance for intelligent vehicles. In existing approaches, the detection accuracy often degrades with the increasi…
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
Hongtu Zhou, Xinneng Yang, Enwei Zhang +4
Real-time multi-target path planning is a key issue in the field of autonomous driving. Although multiple paths can be generated in real-time with polynomial curves, the generated…
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking
Yewei Huang, Junqiao Zhao, Xudong He +2
In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots. High-level landmarks, the parking slots, are…
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment
Lu Sun, Junqiao Zhao, Xudong He +1
For autonomous vehicles, high-precision real-time localization is the guarantee of stable driving. Compared with the visual odometry (VO), the LiDAR odometry (LO) has the advantage…
VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View
Yan Wu, Tao Yang, Junqiao Zhao +2
The automatic parking is being massively developed by car manufacturers and providers. Until now, there are two problems with the automatic parking. First, there is no openly-avail…
TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China
Junqiao Zhao, Chen Ye, Yan Wu +16
TiEV is an autonomous driving platform implemented by Tongji University of China. The vehicle is drive-by-wire and is fully powered by electricity. We devised the software system o…