Vulnerable objects detection for autonomous driving: A review
E Khatab, A Onsy, M Varley, A Abouelfarag - Integration, 2021 - Elsevier
Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …
Object detection in autonomous vehicles: Status and open challenges
A Balasubramaniam, S Pasricha - arXiv preprint arXiv:2201.07706, 2022 - arxiv.org
Object detection is a computer vision task that has become an integral part of many
consumer applications today such as surveillance and security systems, mobile text …
consumer applications today such as surveillance and security systems, mobile text …
[HTML][HTML] A review of occluded objects detection in real complex scenarios for autonomous driving
Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …
transportation. Real-time accurate target detection is an essential precondition for the …
Road object detection: a comparative study of deep learning-based algorithms
Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …
Pedestrian and vehicle detection in autonomous vehicle perception systems—A review
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …
accidents, congestion and pollution. However, there are still challenges to overcome, for …
Object detection using deep learning methods in traffic scenarios
A Boukerche, Z Hou - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The recent boom of autonomous driving nowadays has made object detection in traffic
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …
Object detection methods for improving UAV autonomy and remote sensing applications
P Aposporis - 2020 IEEE/ACM International Conference on …, 2020 - ieeexplore.ieee.org
The last decades the Unmanned Aerial Systems (UASs) are being used in a variety of
applications, such as civil protection, security, agriculture, armed forces, that need real time …
applications, such as civil protection, security, agriculture, armed forces, that need real time …
Object detection learning techniques for autonomous vehicle applications
Autonomous vehicles have been considered as one of the most important trending topics in
the domain of intelligent transportation systems. It is expected that most of the leading …
the domain of intelligent transportation systems. It is expected that most of the leading …
Detection of road objects with small appearance in images for autonomous driving in various traffic situations using a deep learning based approach
Effectively detecting road objects in various environments would significantly improve
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
driving safety for autonomous vehicles. However, small objects, low illumination, and blurred …
Enhancing object detection in self-driving cars using a hybrid approach
Recent advancements in artificial intelligence (AI) have greatly improved the object
detection capabilities of autonomous vehicles, especially using convolutional neural …
detection capabilities of autonomous vehicles, especially using convolutional neural …