Non-uniform imaging object detection method based on NU-YOLO

B Zhang, ZG Li, P Tong, MJ Sun - Optics & Laser Technology, 2024 - Elsevier
Abstract LiDAR (Light Laser Detection and Ranging) is a potential technology that can
acquire multi-dimensional and multi-wavelength imaging information. A non-uniform …

Connecting the dots for real-time LiDAR-based object detection with YOLO

B Dai, C Le Gentil, T Vidal-Calleja - Australasian Conference on …, 2018 - opus.lib.uts.edu.au
© 2018 Australasian Robotics and Automation Association. All rights reserved. In this paper
we introduce a generic method for people and vehicle detection using LiDAR data only …

Real‐Time Object Detection for LiDAR Based on LS‐R‐YOLOv4 Neural Network

YC Fan, CM Yelamandala, TW Chen… - Journal of …, 2021 - Wiley Online Library
Recently, self‐driving cars became a big challenge in the automobile industry. After the
DARPA challenge, which introduced the design of a self‐driving system that can be …

Target fusion detection of LiDAR and camera based on the improved YOLO algorithm

J Han, Y Liao, J Zhang, S Wang, S Li - Mathematics, 2018 - mdpi.com
Target detection plays a key role in the safe driving of autonomous vehicles. At present, most
studies use single sensor to collect obstacle information, but single sensor cannot deal with …

An advanced object classification strategy using YOLO through camera and LiDAR sensor fusion

J Kim, J Kim, J Cho - 2019 13th International Conference on …, 2019 - ieeexplore.ieee.org
In this paper, we propose weighted-mean YOLO to improve real-time performance of object
detection by fusing information of RGB camera and LIDAR. RGB camera is vulnerable to …

Real-time object detection based on fusion of vision and point-cloud interpolated LiDAR

JS Lee, C Ryu, H Kim - … of Institute of Control, Robotics and …, 2020 - inha.elsevierpure.com
This paper aims to detect objects from BEV (Bird-Eye View) images by utilizing multi-source
data from three-dimensional light detection and ranging (3D LiDAR) and a camera. Object …

Real‐Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion

H Wang, X Lou, Y Cai, Y Li, L Chen - Journal of Sensors, 2019 - Wiley Online Library
Vehicle detection is one of the most important environment perception tasks for autonomous
vehicles. The traditional vision‐based vehicle detection methods are not accurate enough …

Low altitude, slow speed and small size object detection improvement in noise conditions based on mixed training

JF Que, HF Peng, JY Xiong - Journal of Physics: Conference …, 2019 - iopscience.iop.org
The low altitude, slow speed and small size object which we call LSS-object for short, such
as small UAV (unmanned aerial vehicles) have become a hot issue of air defense security …

BEV Approach Based Efficient Object Detection using YoloV4 for LiDAR Point Cloud

B Anand, P Rajalakshmi - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Autonomous vehicles and the Advance Drive Assistance System (ADAS) use a number of
sensors for the perception of surroundings. One of the frequently used sensors is Light …

Improved high precision aircraft target detection method of yolt

J Mao, X Zhang, Y Ji, Z Zhang… - Journal of Physics …, 2021 - iopscience.iop.org
The first remote sensing dataset that can be used for aircraft target detection is created and a
3D model simulation method for data augmentation is proposed. After statistical analysis of …