Search Results - "Aradi, Szilard"
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Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control
Published in IEEE access (2020)“…Motion planning plays an essential role in designing self-driving functions for connected and autonomous vehicles. The methods need to provide a feasible…”
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Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
Published in IEEE transactions on intelligent transportation systems (01-02-2022)“…Academic research in the field of autonomous vehicles has reached high popularity in recent years related to several topics as sensor technologies, V2X…”
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Learning Latent Representation of Freeway Traffic Situations from Occupancy Grid Pictures Using Variational Autoencoder
Published in Energies (Basel) (01-09-2021)“…Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and…”
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4
Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach
Published in IEEE access (2024)“…With increasing realised traffic on transport networks, greenhouse gas emissions show a similar trend. Reducing them is a modern aspiration, creating a better…”
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5
Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems
Published in IEEE transactions on intelligent vehicles (25-06-2024)“…The development and testing of automotive perception systems require a large amount of labeled data. The ground truth of the measurement scene is usually…”
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Reward Design for Intelligent Intersection Control to Reduce Emission
Published in IEEE access (2022)“…The transportation industry is one of the main contributors to global warming since it is responsible for a quarter of greenhouse gas emissions. Due to…”
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7
Environment Representations of Railway Infrastructure for Reinforcement Learning-Based Traffic Control
Published in Applied sciences (01-05-2022)“…The real-time railway rescheduling problem is a crucial challenge for human operators since many factors have to be considered during decision making, from the…”
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8
Compression of Vehicle Trajectories with a Variational Autoencoder
Published in Applied sciences (01-10-2020)“…The perception and prediction of the surrounding vehicles’ trajectories play a significant role in designing safe and optimal control strategies for connected…”
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Model Development for Off-Road Traction Control: A Linear Parameter-Varying Approach
Published in Agriculture (Basel) (01-03-2024)“…The number of highly automated machines in the agricultural sector has increased rapidly in recent years. To reduce their fuel consumption, and thus their…”
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Reinforcement Learning based Control Design for a Floating Piston Pneumatic Gearbox Actuator
Published in IEEE access (01-01-2020)“…Electro-pneumatic actuators play an essential role in various areas of the industry, including heavy-duty vehicles. This article deals with the control problem…”
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Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception
Published in IEEE transactions on intelligent vehicles (01-10-2023)“…The gradually evolving automated driving and ADAS functions require more enhanced environment perception. The key to reliable environmental perception is large…”
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12
LPV-Based Controller Design of a Floating Piston Pneumatic Actuator
Published in Actuators (01-12-2020)“…The paper presents the modeling and control design of a floating piston pneumatic gearbox actuator using a grid-based Linear Parameter Varying approach. First,…”
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Sensitivity and Performance Evaluation of Multiple-Model State Estimation Algorithms for Autonomous Vehicle Functions
Published in Journal of advanced transportation (01-01-2019)“…Robust object tracking and maneuver estimation methods play significant role in the design of advanced driver assistant systems and self-driving cars. As an…”
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14
GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System
Published in IEEE transactions on vehicular technology (01-07-2022)“…Advanced driver assistance systems and highly automated driving functions require an enhanced frontal perception system. The requirements of a frontal…”
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15
Skills to Drive: Successor Features for Autonomous Highway Pilot
Published in IEEE transactions on intelligent transportation systems (01-10-2022)“…Reinforcement learning applications are spreading among different domains, including autonomous vehicle control. The diverse situations that can happen during,…”
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Security issues and vulnerabilities in connected car systems
Published in 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (01-06-2015)“…The Connected Revolution has reached the automotive industry and the Internet penetrates into the modern vehicles. Formerly acquiring data from a vehicle was…”
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Conference Proceeding -
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Hybrid Trajectory Planning for Autonomous Vehicles using Neural Networks
Published in 2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) (01-11-2018)“…Highly automated driving, let it be high level advanced driver assistance system (ADAS) or autonomous vehicle is an intensely developing area, in which…”
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Conference Proceeding -
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Multimodel state estimation in road traffic using constrained filtering
Published in 2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) (01-11-2018)“…The paper presents multimodel state estimation with constrained filtering applicable in a road traffic situation. The state to be estimated describes the…”
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Conference Proceeding -
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Educational Frameworks for Vehicle Mechatronics
Published in IEEE transactions on intelligent transportation systems (01-12-2015)“…One of the basis of the development in future intelligent transportation systems is the vehicle itself, whose provided features and communication possibilities…”
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Experimental vehicle development for testing autonomous vehicle functions
Published in 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA) (01-09-2014)“…The paper presents the development of an experimental vehicle framework for testing autonomous vehicle functions. The development of such systems serves two…”
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Conference Proceeding