4.7 Article

Robust LiDAR-Based Vehicle Detection for On-Road Autonomous Driving

Related references

Note: Only part of the references are listed.
Review Computer Science, Artificial Intelligence

A Review of Vehicle Detection Techniques for Intelligent Vehicles

Zhangu Wang et al.

Summary: This article provides a comprehensive review of vehicle detection approaches and their applications in intelligent vehicle systems. It focuses on sensor types and algorithm classification. The review summarizes over 300 research contributions and compares the performance of different sensors and algorithms. It also analyzes the application scenarios and methods of vehicle detection in adverse weather. The challenges and future research trends in intelligent vehicle sensors and algorithms are discussed.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

Article Transportation

Analysis on autonomous vehicle detection performance according to various road geometry settings

Jaehyun (Jason) So et al.

Summary: This study investigates the probability of visibility limitation of autonomous driving system sensors under various road geometry conditions. The findings emphasize that poor road geometry can negatively affect the reliability of the sensor performance and increase autonomous vehicle crash risks. It is demonstrated that the performance requirement level of autonomous driving systems increases when road geometries are less complex.

JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Article Transportation Science & Technology

An automated driving systems data acquisition and analytics platform

Xin Xia et al.

Summary: In this paper, an automated driving system (ADS) data acquisition and analytics platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected automated vehicle (CAV) cooperative perception is presented. The platform processes sensor data from multi-CAVs and extracts objects' identity, position, speed, and orientation information. Various methods, such as deep learning-based object detection, late fusion scheme, and Kalman filter, are used for data processing and object tracking. The results demonstrate the effectiveness of the proposed platform and its potential applications in transportation research and ADS development.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2023)

Article Computer Science, Information Systems

ERNSS-MCC: Efficient relay node selection scheme for mission critical communication using machine learning in VANET

A. Anu Monisha et al.

Summary: This study proposes a relay-assisted VANET system to enhance network stability in emergency situations. The system uses a temporary database learning and control unit, along with GPS and an adaptive neuro-fuzzy inference system, to select a relay vehicle with minimum RMSE. Experimental results show improved packet delivery ratio and throughput compared to existing systems, while reducing delay and computational complexity.

PEER-TO-PEER NETWORKING AND APPLICATIONS (2023)

Article Mathematics, Applied

Nonlinear robust control of trajectory-following for autonomous ground electric vehicles with active front steering system

Xianjian Jin et al.

Summary: This paper presents a nonlinear robust H-infinity control strategy to improve the trajectory following performance of autonomous ground electric vehicles (AGEV) with active front steering system. The proposed controller is designed by considering the parametric uncertainties, system nonlinearities, and external disturbance. Simulation results show that the proposed controller outperforms other existing controllers in terms of vehicle trajectory following performance.

AIMS MATHEMATICS (2023)

Article Engineering, Civil

Rapid Extraction of Urban Road Guardrails From Mobile LiDAR Point Clouds

Jianlan Gao et al.

Summary: This paper proposes a novel method for rapidly extracting urban road guardrails from MLS point clouds, combining multi-level filtering and a modified DBSCAN clustering. The method is applicable to most types of guardrails and rough slope roads. Experimental results demonstrate that the proposed method outperforms the state-of-the-art method in extracting 3D guardrails from point clouds.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Automation & Control Systems

Robust Vibration Control for Active Suspension System of In-Wheel-Motor-Driven Electric Vehicle Via μ-Synthesis Methodology

Xianjian Jin et al.

Summary: This paper proposes a robust vibration controller design for active suspension system of in-wheel-motor-driven electric vehicles (IWMD-EVs) based on unified mu-synthesis framework. The uncertain quarter-vehicle active suspension model with dynamic damping in-wheel-motor-driven system is established, and a robust mu-synthesis feedback controller is designed using structured singular value (SSV) mu and mu-synthesis theoretics. The results show that the mu-controller possesses less conservative stability and performance margins as compared to the H-infinity method against system uncertainties.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2022)

Article Computer Science, Artificial Intelligence

An approach to boundary detection for 3D point clouds based on DBSCAN clustering

Hui Chen et al.

Summary: This paper presents a new DBSCAN-based method for boundary detection and plane segmentation of 3D point clouds. The method selects candidate samples in 3D space and detects valid fitting planes by modifying the classical DBSCAN clustering algorithm. Experimental results demonstrate the effectiveness of the proposed method in achieving high-quality segmentation of planar objects and intersection boundaries.

PATTERN RECOGNITION (2022)

Article Computer Science, Artificial Intelligence

3D Multi-Object Tracking With Adaptive Cubature Kalman Filter for Autonomous Driving

Ge Guo et al.

IEEE Transactions on Intelligent Vehicles (2022)

Article Engineering, Electrical & Electronic

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

Wei Liu et al.

Summary: This paper proposes a tassel detection algorithm based on UAV imagery, which achieves better performance in small-size tassel detection. The algorithm adopts novel techniques such as the bidirectional feature pyramid network and the robust attention module.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)

Article Engineering, Electrical & Electronic

A Robust Gaussian Process-Based LiDAR Ground Segmentation Algorithm for Autonomous Driving

Xianjian Jin et al.

Summary: This paper proposes a ground segmentation algorithm based on Gaussian process, which avoids over-segmentation and under-segmentation problems by introducing height and slope criteria and a sparse covariance function, and reduces computation time.

MACHINES (2022)

Article Engineering, Civil

Airborne LiDAR Assisted Obstacle Recognition and Intrusion Detection Towards Unmanned Aerial Vehicle: Architecture, Modeling and Evaluation

Yiming Miao et al.

Summary: This study focuses on the UAV network architecture under a common scenario and proposes an obstacle recognition and intrusion detection algorithm based on airborne LiDAR. By preprocessing LiDAR data, generating LiDAR data graphs, clustering intrusions, and completing motion recognition and location detection, the proposed algorithm effectively identifies the moving state of intrusions according to experimental results.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

L-Shape Fitting-Based Vehicle Pose Estimation and Tracking Using 3D-LiDAR

Chengfeng Zhao et al.

Summary: This paper introduces a real-time tracking algorithm based on L-Shape fitting for detecting moving vehicles, which uses RANSAC to handle noisy data and implements a vehicle tracking system with multi-weight RBPF. The algorithm achieves real-time performance, mitigates the effect of noisy data, and improves estimation accuracy according to experiments on different datasets.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2021)

Article Engineering, Civil

Dynamic Vehicle Detection With Sparse Point Clouds Based on PE-CPD

Kaiqi Liu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud

Waleed Ali et al.

COMPUTER VISION - ECCV 2018 WORKSHOPS, PT III (2019)

Article Computer Science, Information Systems

A 3D LiDAR Data-Based Dedicated Road Boundary Detection Algorithm for Autonomous Vehicles

Pengpeng Sun et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Research on 3D Point Cloud De-Distortion Algorithm and Its Application on Euclidean Clustering

Long Wen et al.

IEEE ACCESS (2019)

Article Engineering, Civil

L-Shape Model Switching-Based Precise Motion Tracking of Moving Vehicles Using Laser Scanners

Dongchul Kim et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)

Article Chemistry, Analytical

SECOND: Sparsely Embedded Convolutional Detection

Yan Yan et al.

SENSORS (2018)

Article Computer Science, Artificial Intelligence

Gaussian-Process-Based Real-Time Ground Segmentation for Autonomous Land Vehicles

Tongtong Chen et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2014)