AIMC Topic: Motor Vehicles

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Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture.

Sensors (Basel, Switzerland) Aug 15, 2022
Buses and heavy vehicles have more blind spots compared to cars and other road vehicles due to their large sizes. Therefore, accidents caused by these heavy vehicles are more fatal and result in severe injuries to other road users. These possible bli...
Automobiles Motor Vehicles Neural Networks, Computer
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Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images.

Sensors (Basel, Switzerland) Apr 2, 2022
This paper presents a comprehensive solution for distance estimation of the following vehicle solely based on visual data from a low-resolution monocular camera. To this end, a pair of vehicles were instrumented with real-time kinematic (RTK) GPS, an...
Accidents, Traffic Automobile Driving Farms Deep Learning Motor Vehicles
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Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations.

PloS one Nov 16, 2021
Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such ...
Torque Motor Vehicles Friction Fuzzy Logic Robotics Models, Theoretical Computer Simulation
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Deep Q-network-based traffic signal control models.

PloS one Sep 2, 2021
Traffic congestion has become common in urban areas worldwide. To solve this problem, the method of searching a solution using artificial intelligence has recently attracted widespread attention because it can solve complex problems such as traffic s...
Automobile Driving Motor Vehicles Neural Networks, Computer Computer Simulation Humans
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Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement.

Sensors (Basel, Switzerland) Aug 24, 2021
The international roughness index (IRI) for roads is a crucial pavement design criterion in the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown that the IRI transfer function in the MEPDG is simply a linear combinatio...
Artificial Intelligence Algorithms Hydrocarbons Motor Vehicles
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Vehicle trajectory prediction and generation using LSTM models and GANs.

PloS one Jul 1, 2021
Vehicles' trajectory prediction is a topic with growing interest in recent years, as there are applications in several domains ranging from autonomous driving to traffic congestion prediction and urban planning. Predicting trajectories starting from ...
Cities Automobile Driving Forecasting Deep Learning Motor Vehicles
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IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2021
Multi-agent deep reinforcement learning (MDRL) has been widely applied in multi-intersection traffic signal control. The MDRL algorithms produce the decentralized cooperative traffic-signal policies via specialized multi-agent settings in certain tra...
Image Processing, Computer-Assisted Motor Vehicles Machine Learning
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Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications.

Sensors (Basel, Switzerland) Oct 30, 2020
In this paper, we propose a Doppler spectrum-based passenger detection scheme for a CW (Continuous Wave) radar sensor in vehicle applications. First, we design two new features, referred to as an 'extended degree of scattering points' and a 'differen...
Ultrasonography, Doppler Radar Motor Vehicles Humans Algorithms Machine Learning Signal Processing, Computer-Assisted
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Human Occupancy Detection via Passive Cognitive Radio.

Sensors (Basel, Switzerland) Jul 30, 2020
Human occupancy detection (HOD) in an enclosed space, such as indoors or inside of a vehicle, via passive cognitive radio (CR) is a new and challenging research area. Part of the difficulty arises from the fact that a human subject cannot easily be d...
Support Vector Machine Motor Vehicles Radio Waves Non-Medical Public and Private Facilities Logistic Models Cognition Humans Machine Learning Algorithms
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Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth.

PloS one Jul 2, 2020
Understanding which transportation modes people use is critical for smart cities and planners to better serve their citizens. We show that using information from pervasive Wi-Fi access points and Bluetooth devices can enhance GPS and geographic infor...
Wireless Technology Urban Population Transportation Denmark Motor Vehicles Walking Railroads Humans Geographic Information Systems City Planning Automobile Driving Supervised Machine Learning Smartphone Accelerometry
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