Image-based obstacle detection methods for the safe navigation of unmanned vehicles: A review

S Badrloo, M Varshosaz, S Pirasteh, J Li - Remote Sensing, 2022 - mdpi.com
Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

A review of vision-based on-board obstacle detection and distance estimation in railways

D Ristić-Durrant, M Franke, K Michels - Sensors, 2021 - mdpi.com
This paper provides a review of the literature on vision-based on-board obstacle detection
and distance estimation in railways. Environment perception is crucial for autonomous …

Dist-yolo: Fast object detection with distance estimation

M Vajgl, P Hurtik, T Nejezchleba - Applied sciences, 2022 - mdpi.com
We present a scheme of how YOLO can be improved in order to predict the absolute
distance of objects using only information from a monocular camera. It is fully integrated into …

Trackflow: Multi-object tracking with normalizing flows

G Mancusi, A Panariello, A Porrello… - Proceedings of the …, 2023 - openaccess.thecvf.com
The field of multi-object tracking has recently seen a renewed interest in the good old
schema of tracking-by-detection, as its simplicity and strong priors spare it from the complex …

Learning object-specific distance from a monocular image

J Zhu, Y Fang - Proceedings of the IEEE/CVF International …, 2019 - openaccess.thecvf.com
Environment perception, including object detection and distance estimation, is one of the
most crucial tasks for autonomous driving. Many attentions have been paid on the object …

DefGAN: Defect detection GANs with latent space pitting for high-speed railway insulator

D Zhang, S Gao, L Yu, G Kang, X Wei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As a key component of the high-speed railway catenary, the insulator plays an important role
in supporting the catenary and maintaining the insulation between the catenary and earth …

Detection of a moving UAV based on deep learning-based distance estimation

YC Lai, ZY Huang - Remote Sensing, 2020 - mdpi.com
Distance information of an obstacle is important for obstacle avoidance in many
applications, and could be used to determine the potential risk of object collision. In this …

Depth estimation matters most: Improving per-object depth estimation for monocular 3d detection and tracking

L **g, R Yu, H Kretzschmar, K Li, CR Qi… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Monocular image-based 3D perception has become an active research area in recent years
owing to its applications in autonomous driving. Approaches to monocular 3D perception …

Machine learning in urban rail transit systems: a survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

Application of raycast method for person geolocalization and distance determination using UAV images in Real-World land search and rescue scenarios

G Paulin, S Sambolek, M Ivasic-Kos - Expert Systems with Applications, 2024 - Elsevier
People enjoy spending time in the wilderness for numerous reasons. However, they
occasionally get lost or injured, and their survival depends on being efficiently found and …