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09/20/2023
OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving
Visual Odometry (VO) plays a pivotal role in autonomous systems, with a ...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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04/04/2023
USTC FLICAR: A Multisensor Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots
In this paper, we present the USTC FLICAR Dataset, which is dedicated to...
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03/22/2023
P^3O: Transferring Visual Representations for Reinforcement Learning via Prompting
It is important for deep reinforcement learning (DRL) algorithms to tran...
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03/22/2023
Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
Reliable localization is crucial for autonomous robots to navigate effic...
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02/04/2023
TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Recently, it has become popular to deploy sensors such as LiDARs on the ...
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01/13/2023
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection
The recent trend for multi-camera 3D object detection is through the uni...
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11/07/2022
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
Tensor program tuning is a non-convex objective optimization problem, to...
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10/25/2022
MAROAM: Map-based Radar SLAM through Two-step Feature Selection
In this letter, we propose MAROAM, a millimeter wave radar-based SLAM fr...
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08/31/2022
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM
Simultaneous localization and mapping (SLAM) based on laser sensors has ...
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03/30/2022
Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity
Existing navigation policies for autonomous robots tend to focus on coll...
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12/25/2021
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing
The dependency tree of a natural language sentence can capture the inter...
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11/29/2021
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion
It has been well recognized that fusing the complementary information fr...
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09/13/2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
It is challenging to control a soft robot, where reinforcement learning ...
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09/06/2021
Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
It is challenging for a mobile robot to navigate through human crowds. E...
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08/13/2021
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model
Deep reinforcement learning (DRL) algorithms have proven effective in ro...
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08/12/2021
DRQN-based 3D Obstacle Avoidance with a Limited Field of View
In this paper, we propose a map-based end-to-end DRL approach for three-...
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07/06/2021
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
As cameras are increasingly deployed in new application domains such as ...
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06/24/2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
In the past few years, we have witnessed rapid development of autonomous...
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05/27/2021
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors
One of the main obstacles to 3D semantic segmentation is the significant...
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01/14/2021
Neural networks behave as hash encoders: An empirical study
The input space of a neural network with ReLU-like activations is partit...
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11/02/2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Traditionally, reinforcement learning methods predict the next action ba...
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02/11/2020
Robot Navigation with Map-Based Deep Reinforcement Learning
This paper proposes an end-to-end deep reinforcement learning approach f...
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02/26/2019
MRS-VPR: a multi-resolution sampling based global visual place recognition method
Place recognition and loop closure detection are challenging for long-te...
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02/26/2019
A Multi-Domain Feature Learning Method for Visual Place Recognition
Visual Place Recognition (VPR) is an important component in both compute...
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08/28/2018
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
We propose KDSL, a new word sense disambiguation (WSD) framework that ut...
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07/06/2017
Well-Founded Operators for Normal Hybrid MKNF Knowledge Bases
Hybrid MKNF knowledge bases have been considered one of the dominant app...
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05/05/2014
