AIMC Topic: Autonomous Vehicles

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Weight Adaptive Path Tracking Control for Autonomous Vehicles Based on PSO-BP Neural Network.

Sensors (Basel, Switzerland) Dec 30, 2022
In order to improve the tracking adaptability of autonomous vehicles under different vehicle speeds and road curvature, this paper develops a weight adaptive model prediction control system (AMPC) based on PSO-BP neural network, which consists of a d...
Neural Networks, Computer Computer Simulation Models, Biological Acclimatization Autonomous Vehicles
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How Do Autonomous Vehicles Decide?

Sensors (Basel, Switzerland) Dec 28, 2022
The advancement in sensor technologies, mobile network technologies, and artificial intelligence has pushed the boundaries of different verticals, e.g., eHealth and autonomous driving. Statistics show that more than one million people are killed in t...
Humans Artificial Intelligence Accidents, Traffic Safety Automobile Driving Autonomous Vehicles
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End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost.

Sensors (Basel, Switzerland) Dec 10, 2022
Path planning plays an important role in navigation and motion planning for robotics and automated driving applications. Most existing methods use iterative frameworks to calculate and plan the optimal path from the starting point to the endpoint. It...
Neural Networks, Computer Algorithms Robotics Motion Autonomous Vehicles
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Explainable AI in Scene Understanding for Autonomous Vehicles in Unstructured Traffic Environments on Indian Roads Using the Inception U-Net Model with Grad-CAM Visualization.

Sensors (Basel, Switzerland) Dec 10, 2022
The intelligent transportation system, especially autonomous vehicles, has seen a lot of interest among researchers owing to the tremendous work in modern artificial intelligence (AI) techniques, especially deep neural learning. As a result of increa...
Humans Neural Networks, Computer Artificial Intelligence Intelligence Autonomous Vehicles
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Advances in Visual Simultaneous Localisation and Mapping Techniques for Autonomous Vehicles: A Review.

Sensors (Basel, Switzerland) Nov 18, 2022
The recent advancements in Information and Communication Technology (ICT) as well as increasing demand for vehicular safety has led to significant progressions in Autonomous Vehicle (AV) technology. Perception and Localisation are major operations th...
Algorithms Robotics Autonomous Vehicles
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An XAI method for convolutional neural networks in self-driving cars.

PloS one Aug 16, 2022
eXplainable Artificial Intelligence (XAI) is a new trend of machine learning. Machine learning models are used to predict or decide something, and they derive output based on a large volume of data set. Here, the problem is that it is hard to know wh...
Neural Networks, Computer Artificial Intelligence Algorithms Reproducibility of Results Autonomous Vehicles
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Content Swapping: A New Image Synthesis for Construction Sign Detection in Autonomous Vehicles.

Sensors (Basel, Switzerland) May 4, 2022
Construction signs alert drivers to the dangers of abnormally blocked roads. In the case of autonomous vehicles, construction signs should be detected automatically to prevent accidents. One might think that we can accomplish the goal easily using th...
Neural Networks, Computer Republic of Korea Data Collection Automobile Driving Autonomous Vehicles
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Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning.

Computational intelligence and neuroscience Jan 17, 2022
Understanding the situation is a critical component of any self-driving system. Accurate real-time visual signal processing to create pixelwise classed pictures, also known as semantic segmentation, is critical for scenario comprehension and subseque...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Semantics Autonomous Vehicles
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Attacks to Automatous Vehicles: A Deep Learning Algorithm for Cybersecurity.

Sensors (Basel, Switzerland) Jan 4, 2022
Rapid technological development has changed drastically the automotive industry. Network communication has improved, helping the vehicles transition from completely machine- to software-controlled technologies. The autonomous vehicle network is contr...
Artificial Intelligence Algorithms Deep Learning Computer Security Autonomous Vehicles
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CFNet: LiDAR-Camera Registration Using Calibration Flow Network.

Sensors (Basel, Switzerland) Dec 4, 2021
As an essential procedure of data fusion, LiDAR-camera calibration is critical for autonomous vehicles and robot navigation. Most calibration methods require laborious manual work, complicated environmental settings, and specific calibration targets....
Neural Networks, Computer Algorithms Calibration Autonomous Vehicles
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