Survey of landmark-based indoor positioning technologies

B Jang, H Kim, J wook Kim - Information Fusion, 2023 - Elsevier
Owing to the increase in the time people spend indoors, coupled with the pervasiveness of
high-performance smart devices, the importance of indoor positioning techniques has …

Mind the gap: Developments in autonomous driving research and the sustainability challenge

L Mora, X Wu, A Panori - Journal of cleaner production, 2020 - Elsevier
Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever
pace. As a result, the likelihood of incurring information overload is particularly notable for …

Sensors and sensor fusion in autonomous vehicles

J Kocić, N Jovičić, V Drndarević - 2018 26th …, 2018 - ieeexplore.ieee.org
In this paper, we are presenting a short overview of the sensors and sensor fusion in
autonomous vehicles. We focused on the sensor fusion from the key sensors in autonomous …

Development of autonomous car—Part II: A case study on the implementation of an autonomous driving system based on distributed architecture

K Jo, J Kim, D Kim, C Jang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Part I of this paper proposed a development process and a system platform for the
development of autonomous cars based on a distributed system architecture. The proposed …

Local path planning for off-road autonomous driving with avoidance of static obstacles

K Chu, M Lee, M Sunwoo - IEEE transactions on intelligent …, 2012 - ieeexplore.ieee.org
In this paper, a real-time path-planning algorithm that provides an optimal path for off-road
autonomous driving with static obstacles avoidance is presented. The proposed planning …

Mapping two decades of autonomous vehicle research: A systematic scientometric analysis

A Faisal, T Yigitcanlar, M Kamruzzaman… - Journal of Urban …, 2021 - Taylor & Francis
Autonomous vehicles (AV) have become a symbol of futuristic and intelligent transport
innovation. This new driving technology has received heightened attention from academic …

Advanced driver assistance system for road environments to improve safety and efficiency

F Jiménez, JE Naranjo, JJ Anaya, F García… - Transportation research …, 2016 - Elsevier
Abstract The advances in Information Technologies have led to more complex road safety
applications. These systems provide multiple possibilities for improving road transport. The …

Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network

R Zhao, M Pang, J Wang - International journal of geographical …, 2018 - Taylor & Francis
Point cloud classification plays a critical role in many applications of airborne light detection
and ranging (LiDAR) data. In this paper, we present a deep feature-based method for …

The obstacle detection and obstacle avoidance algorithm based on 2-d lidar

Y Peng, D Qu, Y Zhong, S Xie, J Luo… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Obstacle avoidance ability is the significant embodiment of the ground mobile robot, and the
basic guarantee of the ground mobile robot to perform various tasks. Obstacle avoidance …

A real-time road boundary detection approach in surface mine based on meta random forest

Y Ai, R Song, C Huang, C Cui, B Tian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Efficient and accurate road boundary detection is a fundamental building component of the
perception system for autonomous driving. Specially, the challenges for road boundary …