A Review of Vision-Based On-Board Obstacle Detection and Distance Estimation in Railways
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 detection of obstacles in a vehicle’s surroundings. The use of on-board sensors for road vehicles for this purpose is well...
Main Authors: | Danijela Ristić-Durrant, Marten Franke, Kai Michels |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/10/3452 |
Similar Items
-
Object-Level Data Augmentation for Deep Learning-Based Obstacle Detection in Railways
by: Marten Franke, et al.
Published: (2022-10-01) -
Dealing with Low Quality Images in Railway Obstacle Detection System
by: Staniša Perić, et al.
Published: (2022-03-01) -
A Monocular Vision Sensor-Based Obstacle Detection Algorithm for Autonomous Robots
by: Tae-Jae Lee, et al.
Published: (2016-03-01) -
Aerial Footage Analysis Using Computer Vision for Efficient Detection of Points of Interest Near Railway Tracks
by: Rohan Sharma, et al.
Published: (2022-07-01) -
Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor
by: Shuo Chang, et al.
Published: (2020-02-01)