Advanced driver assistance systems
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Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey Open
Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. This fact has mo…
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A Review of Sensor Technologies for Perception in Automated Driving Open
After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. Th…
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Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures Open
Autonomous vehicle (AV) technology has advanced rapidly in recent years with some automated features already available in vehicles on the market. AVs are expected to reduce traffic crashes as the majority of crashes are related to driver e…
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Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges Open
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context as well as the driver status since ADAS share the vehicle control authorities with the human driver. This study provide…
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IntentNet: Learning to Predict Intention from Raw Sensor Data Open
In order to plan a safe maneuver, self-driving vehicles need to understand the intent of other traffic participants. We define intent as a combination of discrete high-level behaviors as well as continuous trajectories describing future mo…
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A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms Open
In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and d…
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Behavioural impacts of Advanced Driver Assistance Systems–an overview Open
The purpose of Advanced Driver Assistance Systems (ADAS) is that driver error will be reduced or even eliminated, and efficiency in traffic and transport is enhanced. The benefits of ADAS implementations are potentially considerable becaus…
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MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation Open
For the foreseeble future, human beings will likely remain an integral part\nof the driving task, monitoring the AI system as it performs anywhere from just\nover 0% to just under 100% of the driving. The governing objectives of the MIT\nA…
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A Review of Shared Control for Automated Vehicles: Theory and Applications Open
The last decade has shown an increasing interest on advanced driver assistance systems (ADAS) based on shared control, where automation is continuously supporting the driver at the control level with an adaptive authority. A first look at …
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Driver-Automation Cooperative Approach for Shared Steering Control Under Multiple System Constraints: Design and Experiments Open
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A Comprehensive Survey of Driving Monitoring and Assistance Systems Open
Improving a vehicle driver’s performance decreases the damage caused by, and chances of, road accidents. In recent decades, engineers and researchers have proposed several strategies to model and improve driving monitoring and assistance s…
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Testing advanced driver assistance systems using multi-objective search and neural networks Open
Recent years have seen a proliferation of complex Advanced Driver Assistance Systems (ADAS), in particular, for use in autonomous cars. These systems consist of sensors and cameras as well as image processing and decision support software …
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Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel Open
Objective: The aim of this study was to understand how to secure driver supervision engagement and conflict intervention performance while using highly reliable (but not perfect) automation. Background: Securing driver engagement—by mitiga…
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Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision Open
Lane detection is a fundamental aspect of most current advanced driver assistance systems (ADASs). A large number of existing results focus on the study of vision-based lane detection methods due to the extensive knowledge background and t…
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Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges Open
The automatic traffic sign detection and recognition (TSDR) system is very important research in the development of advanced driver assistance systems (ADAS). Investigations on vision-based TSDR have received substantial interest in the re…
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Decision-making in driver-automation shared control: A review and perspectives Open
Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control s…
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Advanced Driver Assistance System for Road Environments to Improve Safety and Efficiency Open
The advances in Information Technologies have led to more complex road safety applications. These systems provide multiple possibilities for improving road transport. The integrated system that this paper presents deals with two aspects th…
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SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Open
Adapting to a continuously evolving environment is a safety-critical challenge inevitably faced by all autonomous-driving systems. Existing image- and video-based driving datasets, however, fall short of capturing the mutable nature of the…
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Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections Open
Connected and Automated Vehicles (CAVs) can potentially improve the performance of the transportation system by reducing human errors. This paper investigates the safety impact of CAVs in a mixed traffic with conventional vehicles at inter…
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Cooperative Trajectory Planning for Haptic Shared Control Between Driver and Automation in Highway Driving Open
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Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images Open
This work presents the development of an ADAS (advanced driving assistance system) focused on driver drowsiness detection, whose objective is to alert drivers of their drowsy state to avoid road traffic accidents. In a driving environment,…
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Vehicle-to-Pedestrian Communication for Vulnerable Road Users: Survey, Design Considerations, and Challenges Open
In the last few years, increasing attention has been provided to research Vehicle-to-Pedestrian (V2P) communication systems. These V2P systems serve different purposes (safety or convenience) and cater to different Vulnerable Road User (VR…
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Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation Open
Nowadays, vehicles have advanced driver-assistance systems which help to improve vehicle safety and save the lives of drivers, passengers and pedestrians. Identification of the road-surface type and condition in real time using a video ima…
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RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition Open
Millimeter-wave radars are being increasingly integrated into commercial\nvehicles to support new advanced driver-assistance systems by enabling robust\nand high-performance object detection, localization, as well as recognition - a\nkey c…
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MMW Radar-Based Technologies in Autonomous Driving: A Review Open
With the rapid development of automated vehicles (AVs), more and more demands are proposed towards environmental perception. Among the commonly used sensors, MMW radar plays an important role due to its low cost, adaptability In different …
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The Effect of Haptic Support Systems on Driver Performance: A Literature Survey Open
A large number of haptic driver support systems have been described in the scientific literature. However, there is little consensus regarding the design, evaluation methods, and effectiveness of these systems. This literature survey aimed…
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Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation Open
Altres ajuts: Antonio thanks the financial support by ICREA under the ICREA Academia Program. We thank the Generalitat de Catalunya CERCA Program and its ACCIO agency
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Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges Open
Human drivers have different driving styles, experiences, and emotions due to unique driving characteristics, exhibiting their own driving behaviors and habits. Various research efforts have approached the problem of detecting abnormal hum…
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Advanced Estimation Techniques for Vehicle System Dynamic State: A Survey Open
In order to improve handling stability performance and active safety of a ground vehicle, a large number of advanced vehicle dynamics control systems—such as the direct yaw control system and active front steering system, and in particular…
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Technology Developments and Impacts of Connected and Autonomous Vehicles: An Overview Open
The scientific advancements in the vehicle and infrastructure automation industry are progressively improving nowadays to provide benefits for the end-users in terms of traffic congestion reduction, safety enhancements, stress-free travels…