114 citations · 243 across the 15 of their papers we have counts for
15 papers
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
Yanmin Wu, Yunzhou Zhang, Delong Zhu +4
Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object representat…
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu, Xinyu Mao, Yuqi Fang +2
With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intelligent perception and planning systems. Self-driving…
VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
Delong Zhu, Chaoqun Wang, Wenshan Wang +3
This paper presents a fundamental algorithm, called VDB-EDT, for Euclidean distance transform (EDT) based on the VDB data structure. The algorithm executes on grid maps and generat…
A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
Jianbang Liu, Yuqi Fang, Delong Zhu +3
Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention, since they can substitute human workers…
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
Rui Tian, Yunzhou Zhang, Delong Zhu +3
Scale ambiguity is a fundamental problem in monocular visual odometry. Typical solutions include loop closure detection and environment information mining. For applications like se…
Object SLAM-Based Active Mapping and Robotic Grasping
Yanmin Wu, Yunzhou Zhang, Delong Zhu +5
This paper presents the first active object mapping framework for complex robotic manipulation and autonomous perception tasks. The framework is built on an object SLAM system inte…
Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments
Jiahui Lin, Tong Zhou, Delong Zhu +2
This paper presents a search-based partial motion planner to generate dynamically feasible trajectories for car-like robots in highly dynamic environments. The planner searches for…
Online State-Time Trajectory Planning Using Timed-ESDF in Highly Dynamic Environments
Delong Zhu, Tong Zhou, Jiahui Lin +2
Online state-time trajectory planning in highly dynamic environments remains an unsolved problem due to the unpredictable motions of moving obstacles and the curse of dimensionalit…
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection
Nachuan Ma, Jianbang Liu, Delong Zhu
Elevator button recognition is a critical function to realize the autonomous operation of elevators. However, challenging image conditions and various image distortions make it dif…
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Yanmin Wu, Yunzhou Zhang, Delong Zhu +3
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this work, w…
TartanAir: A Dataset to Push the Limits of Visual SLAM
Wenshan Wang, Delong Zhu, Xiangwei Wang +6
We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving o…
Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition
Delong Zhu, Jianbang Liu, Nachuan Ma +2
Elevator button recognition is considered an indispensable function for enabling the autonomous elevator operation of mobile robots. However, due to unfavorable image conditions an…
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
Tingguang Li, Danny Ho, Chenming Li +3
As one of the most promising areas, mobile robots draw much attention these years. Current work in this field is often evaluated in a few manually designed scenarios, due to the la…
SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments
Chaoqun Wang, Delong Zhu, Teng Li +2
In this paper, we propose an integrated framework for the autonomous robotic exploration in indoor environments. Specially, we present a hybrid map, named Semantic Road Map (SRM),…
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration
Tingguang Li, Jin Pan, Delong Zhu +1
To achieve scenario intelligence, humans must transfer knowledge to robots by developing goal-oriented algorithms, which are sometimes insensitive to dynamically changing environme…