Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …
broad influence over society, as they increase passenger safety and convenience, lower fuel …
Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis
In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …
Homomorphic federated learning schemes enabled pedestrian and vehicle detection system
Intelligent transport systems are increasingly being used in practice these days. Fog nodes
and cloud servers collect real-time pedestrian and vehicle data and train them based on …
and cloud servers collect real-time pedestrian and vehicle data and train them based on …
A secure traffic police remote sensing approach via a deep learning-based low-altitude vehicle speed detector through uavs in smart cites: Algorithm, implementation …
Nowadays, the unmanned aerial vehicle (UAV) has a wide application in transportation. For
instance, by leveraging it, we are able to perform accurate and real-time vehicle speed …
instance, by leveraging it, we are able to perform accurate and real-time vehicle speed …
Real-time 3D object detection and classification in autonomous driving environment using 3D LiDAR and camera sensors
The rapid development of Autonomous Vehicles (AVs) increases the requirement for the
accurate prediction of objects in the vicinity to guarantee safer journeys. For effectively …
accurate prediction of objects in the vicinity to guarantee safer journeys. For effectively …
Image semantic segmentation approach based on DeepLabV3 plus network with an attention mechanism
Y Liu, X Bai, J Wang, G Li, J Li, Z Lv - Engineering Applications of Artificial …, 2024 - Elsevier
Image semantic segmentation is a technique that distinguishes different kinds of things in an
image by assigning a label to each point in a target category based on its" semantics". The …
image by assigning a label to each point in a target category based on its" semantics". The …
Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …
transportation systems requires computer vision technology to be effective in detecting …
Application of machine learning techniques for predicting potential vehicle-to-pedestrian collisions in virtual reality scenarios
The definition of pedestrian behavior when crossing the street and facing potential collision
situations is crucial for the design of new Autonomous Emergency Braking systems (AEB) in …
situations is crucial for the design of new Autonomous Emergency Braking systems (AEB) in …
Recognition of Front-Vehicle Taillights Based on YOLOv5s
H Zhang, J Zhang, S Wang, Q Zhou, X Li - IEEE Access, 2023 - ieeexplore.ieee.org
In automatic driving, the recognition of Front-Vehicle taillights plays a key role in predicting
the intentions of the vehicle ahead. In order to accurately identify the Front-Vehicle taillights …
the intentions of the vehicle ahead. In order to accurately identify the Front-Vehicle taillights …
Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution
Autonomous vehicles can transform the transportation sector by offering a safer and more
effective means of travel. However, the success of self-driving cars depends on their ability …
effective means of travel. However, the success of self-driving cars depends on their ability …