Results 11 to 20 of about 20,653 (256)
Development of High-Fidelity Automotive LiDAR Sensor Model with Standardized Interfaces
Sensors, 2022 This work introduces a process to develop a tool-independent, high-fidelity, ray tracing-based light detection and ranging (LiDAR) model. This virtual LiDAR sensor includes accurate modeling of the scan pattern and a complete signal processing toolchain ...
Arsalan Haider +10 more
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A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors
Sensors, 2023 In this work, we introduce a novel approach to model the rain and fog effect on the light detection and ranging (LiDAR) sensor performance for the simulation-based testing of LiDAR systems.
Arsalan Haider +13 more
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SIMULATION-BASED APPLICATION OF SAFETY OF THE INTENDED FUNCTIONALITY TO MITIGATE FORESEEABLE MISUSE IN AUTOMATED DRIVING SYSTEMS [PDF]
Carpathian Journal of Electrical Engineering, 2023 The development of Automated Driving Systems (ADS) has the potential to revolutionize the transportation industry, but it also presents significant safety challenges.
Milin PATEL, Rolf JUNG
doaj
Empowering Advanced Driver-Assistance Systems from Topological Data Analysis
Mathematics, 2021 We are interested in evaluating the state of drivers to determine whether they are attentive to the road or not by using motion sensor data collected from car driving experiments.
Tarek Frahi +7 more
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Advanced Driver Assistance System
International Journal for Research in Applied Science and Engineering Technology, 2023 bstract: Many people die each year in roadway departure crashes caused by driver inattention. Lane detection systems are useful in avoiding these accidents as safety is the main purpose of these systems. Such systems have the goal to detect the lane marks and to warn the driver in case the vehicle tends to depart from the lane.
Pranali Shivale +4 more
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Advanced Driver Assistance Systems and Animals [PDF]
KI - Künstliche Intelligenz, 2014 Advanced driver assistance systems are widely used. Some support and inform the driver. Others relieve him or her of certain tasks—and transform the human-guided system into a semi-autonomous one. For some years also fully autonomous systems have been on the roads, so-called self-driving cars, as prototypes of companies and within research projects ...
openaire +2 more sources
Analysis of drivers’ characteristic driving operations based on combined features [PDF]
Journal of Intelligent and Connected Vehicles, 2019 Purpose - Analysis of characteristic driving operations can help develop supports for drivers with different driving skills. However, the existing knowledge on analysis of driving skills only focuses on single driving operation and cannot reflect the ...
Min Wang, Shuguang Li, Lei Zhu, Jin Yao
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Traffic Safety Research, 2023 Vulnerable road users (VRUs) are frequently involved in road traffic crashes worldwide, and the most serious consequences often occur in collisions with motor vehicles.
Irene Isaksson Hellman +1 more
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Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)
IEEE Access, 2021 AI-based smart thermal perception systems can cater to the limitations of conventional imaging sensors by providing a more reliable data source in low-lighting conditions and adverse weather conditions.
Muhammad Ali Farooq +3 more
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Applied Sciences, 2019 This paper proposes the variable chromosome genetic algorithm (VCGA) for structure learning in neural networks. Currently, the structural parameters of neural networks, i.e., number of neurons, coupling relations, number of layers, etc., have mostly been
Kang-moon Park +2 more
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