[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms
MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …
advantages of autonomous driving systems. The main advantage being the disassociation …
A journey towards fully autonomous driving-fueled by a smart communication system
Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
Fusion-based feature attention gate component for vehicle detection based on event camera
In the field of autonomous vehicles, various heterogeneous sensors, such as LiDAR, Radar,
camera, etc, are combined to improve the vehicle ability of sensing accuracy and …
camera, etc, are combined to improve the vehicle ability of sensing accuracy and …
Attentional graph neural network for parking-slot detection
Deep learning has recently demonstrated its promising performance for vision-based
parking-slot detection. However, very few existing methods explicitly take into account …
parking-slot detection. However, very few existing methods explicitly take into account …
Survey of target parking position designation for automatic parking systems
This paper summarizes the results of research on target parking position designation for
automatic parking systems and proposes development directions. First, as parking-related …
automatic parking systems and proposes development directions. First, as parking-related …
Convolutional neural network for parking slots detection
Анотація With the rapid growth of transport number on our streets, the need for finding a
vacant parking spot today could most of the time be problematic, but even more in the …
vacant parking spot today could most of the time be problematic, but even more in the …
Review of vision-based deep learning parking slot detection on surround view images
Autonomous vehicles are gaining popularity, and the development of automatic parking
systems is a fundamental requirement. Detecting the parking slots accurately is the first step …
systems is a fundamental requirement. Detecting the parking slots accurately is the first step …
EPSDNET: Efficient campus parking space detection via convolutional neural networks and vehicle image recognition for intelligent Human–Computer interactions
Q An, H Wang, X Chen - Sensors, 2022 - mdpi.com
The parking problem, which is caused by a low parking space utilization ratio, has always
plagued drivers. In this work, we proposed an intelligent detection method based on deep …
plagued drivers. In this work, we proposed an intelligent detection method based on deep …
Transformer-based parking slot detection using fixed anchor points
Transformer-based architectures have recently gained significant attention in various
computer vision tasks. Their ability to capture non-local dependencies and intricate …
computer vision tasks. Their ability to capture non-local dependencies and intricate …
One-Stage Parking Slot Detection Using Component Linkage and Progressive Assembly
Even though one-stage detectors have advantages for resource-constrained and real-time
applications, they face the disadvantage of mediocre performance. Thus, this article …
applications, they face the disadvantage of mediocre performance. Thus, this article …