[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Milestones in autonomous driving and intelligent vehicles: Survey of surveys
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
An improved deep network-based scene classification method for self-driving cars
J Ni, K Shen, Y Chen, W Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A self-driving car is a hot research topic in the field of the intelligent transportation system,
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
Learning-based methods of perception and navigation for ground vehicles in unstructured environments: A review
DC Guastella, G Muscato - Sensors, 2020 - mdpi.com
The problem of autonomous navigation of a ground vehicle in unstructured environments is
both challenging and crucial for the deployment of this type of vehicle in real-world …
both challenging and crucial for the deployment of this type of vehicle in real-world …
An improved ssd-like deep network-based object detection method for indoor scenes
The indoor scene object detection technology is of important research significance, which is
one of the popular research topics in the field of scene understanding for indoor robots. In …
one of the popular research topics in the field of scene understanding for indoor robots. In …
A review on medical textual question answering systems based on deep learning approaches
E Mutabazi, J Ni, G Tang, W Cao - Applied Sciences, 2021 - mdpi.com
The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …
solution and an efficient approach for retrieving significant information over the Internet. A …
[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …
challenging problems in field robotics. Terrain and traversability analysis is a …
Vision-based autonomous vehicle systems based on deep learning: A systematic literature review
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …
rate, particularly due to improvements in artificial intelligence, which have had a significant …
Obstacle detection of rail transit based on deep learning
D He, Z Zou, Y Chen, B Liu, X Yao, S Shan - Measurement, 2021 - Elsevier
Obstacle detection plays an important role in train automatic operation. To overcome the low
accuracy and poor real-time performance of traditional detection methods, and better detect …
accuracy and poor real-time performance of traditional detection methods, and better detect …