A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments

J Hu, B Zheng, C Wang, C Zhao, X Hou, Q Pan… - Frontiers of Information …, 2020 - Springer
With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …

Survey of datafusion techniques for laser and vision based sensor integration for autonomous navigation

P Kolar, P Benavidez, M Jamshidi - Sensors, 2020 - mdpi.com
This paper focuses on data fusion, which is fundamental to one of the most important
modules in any autonomous system: perception. Over the past decade, there has been a …

Application of the unscented Kalman filter in position estimation a case study on a robot for precise positioning

C Naab, Z Zheng - Robotics and Autonomous Systems, 2022 - Elsevier
High-precision measurement is a common task in many engineering applications. In these
cases, sensor fusion algorithms represented by Kalman filter and its variants are effective …

Smartphone based HD map building for autonomous vehicles

L Szabó, L Lindenmaier… - 2019 IEEE 17th World …, 2019 - ieeexplore.ieee.org
The development of autonomous vehicles requires accurate map information, about the
surrounding static landmarks such as lane information. Building up the so called HD Map …

A modified Bayesian framework for multi-sensor target tracking with out-of-sequence-measurements

Y Shi, S Qayyum, SA Memon, U Khan, J Imtiaz, I Ullah… - Sensors, 2020 - mdpi.com
Target detection and tracking is important in military as well as in civilian applications. In
order to detect and track high-speed incoming threats, modern surveillance systems are …

Sensor fusion technology for unmanned autonomous vehicles (UAV): A review of methods and applications

MH Harun, SS Abdullah, MSM Aras… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
Obstacle detection is one of the most important parts of vehicle driving in Unmanned
Autonomous Vehicles (UAV), which has been the subject of extensive research with the …

Mine track obstacle detection method based on information fusion

B Liu, B Tian, J Qiao - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
As an important part of the coal mine transportation system, coal mine underground rail
transportation undertakes the core transportation task of coal mine underground. Its safe and …

Sensor fusion algorithm for software based advanced driver-assistance intelligent systems

P Kaur, R Sobti - … Conference on Secure Cyber Computing and …, 2018 - ieeexplore.ieee.org
The diversity of smart and cognitively intelligent features integrated into the modern
contemporary cars is rising rapidly. Intelligent cooperative driving is one of the several …

基于多传感器融合的智能车在野外环境中的障碍物检测研究

J Hu, B Zheng, C Wang, C Zhao, X Hou, Q Pan, Z Xu… - Frontiers, 2020 - jzus.zju.edu.cn
随着传感器融合技术发展, 人们对智能地面车辆进行大量研究, 其中障碍物检测是一个关键技术.
障碍物检测是一项复杂任务, 涉及多种障碍物, 传感器特性和环境条件. 虽然道路驾驶员辅助系统 …

Radar-detection based classification of moving objects using machine learning methods

V Nordenmark, A Forsgren - 2015 - diva-portal.org
In this MSc thesis, the possibility to classify moving objects based on radar detection data is
investigated. The intention is a light-weight, low-level system that relies on cheap hardware …