Sensing and Machine Learning for Automotive Perception: A Review

Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...

Exploring the factors influencing acquisition and learning experiences of cars fitted with advanced driver assistance systems (ADAS)

Advanced Driver Assistance Systems (ADAS) have shown substantial potential to increase road safety. To guarantee a growing presence and correct use of ADAS, road safety initiatives such as driver education and programs to promote safer vehicles need to be oriented towards the specific needs of individual drivers. The aim of this study was to...

Modelling Individual Driver Trajectories to Personalise Haptic Shared Steering Control in Curves

Road safety is still a challenging issue. In 2020, 1.35 million people have died as a result of traffic accidents, where the number one cause of death for young adults between the age of 5 and 29 is car accidents. In an attempt to improve road safety, the automotive industry has developed numerous types of Advanced Driver Assistance Systems ...

Measuring Driver Perception: Combining Eye-Tracking and Automated Road Scene Perception

Objective: To investigate how well gaze behavior can indicate driver awareness of individual road users when related to the vehicle’s road scene perception. Background: An appropriate method is required to identify how driver gaze reveals awareness of other road users. Method: We developed a recognition-based method for labeling of driver...

Modular time-of-flight image sensor for light detection and ranging: A digital approach to LIDAR

Constant increase in data processing efficiency has enabled, among many other things, the intensive use of depth mapping technologies. Consumer applications, such as gaming, augmented and virtual realities (AR/VR), and other human-machine interfaces, are typically based on intensive image processing, either by triangulation and/or structured...

How do drivers merge heavy goods vehicles onto freeways?: A semi-structured interview unveiling needs for communication and support

Freeway merging of heavy goods vehicles (HGV) is a safety–critical manoeuvre. However, at present, it is largely unknown how HGV drivers perceive and execute the merging manoeuvre, and how current advanced driver support and automation systems (ADAS) contribute. We performed semi-structured in-depth interviews with 15 HGV drivers to assess...

A recognition model of driving risk based on Belief Rule-Base methodology

This paper aims to recognize driving risks in individual vehicles online based on a data-driven methodology. Existing advanced driver assistance systems (ADAS) have difficulties in effectively processing multi-source heterogeneous driving data. Furthermore, parameters adopted for evaluating the driving risk are limited in these systems. The...

Safe nonlinear trajectory generation for parallel autonomy with a dynamic vehicle model

High-end vehicles are already equipped with safety systems, such as assistive braking and automatic lane following, enhancing vehicle safety. Yet, these current solutions can only help in low-complexity driving situations. In this paper, we introduce a parallel autonomy, or shared control, framework that computes safe trajectories for an...

Assisting Driver Sovereignty: A Fail-Safe Design Approach to Driver Distraction

This thesis investigates the potential of a fail-safe approach to driver distraction through novel interface concepts for integrated Advanced Driver Assistance Systems (ADAS). Traffic accidents are a negative side effect of the universal and economical desire for mobility. The year 2009 saw the alarming numbers of 34.817 fatalities and 1.565.151...

Reducing travel delay by in-car advice on speed, headway and lane use based on downstream traffic flow conditions - a simulation study

A new advisory ADAS system is implemented in micro simulation to asses the effects on traffic flow as well as on safety. The system uses loop detector data from which situations may be recognized where advices are given to drivers in-car. Advice is given on speed, headway and lane use. Effectively the system allows drivers to respond to...

A methodology for improving road safety by novel infrastructural and invehicle technology combinations

Introduction Still too many deaths and injuries are a result of road safety limitations within Europe. Road safety measures aimed to change the road environment to reduce the risks on driver errors and to reduce the seriousness of the effects of driver errors are expected to increase road safety. A suitable combination of new technologies with...

The Acceptability of In-vehicle Intelligent Speed Assistance (ISA) Systems: From Trial Support to Public Support

Speed management is a set of measures to limit negative effects of speed in a transport system. One of the solutions to solve speeding is making the road transport system more intelligent by implementing intelligent speed assistance (ISA). This thesis provides more insight in the factors that can determine the acceptability of ISA by (potential)...

The Acceptability of In-vehicle Intelligent Speed Assistance (ISA) Systems: From Trial Support to Public Support

Speed management is a set of measures to limit negative effects of speed in a transport system. One of the solutions to solve speeding is making the road transport system more intelligent by implementing intelligent speed assistance (ISA). This thesis provides more insight in the factors that can determine the acceptability of ISA by (potential)...

Progress with situation assessment and risk prediction in advanced driver assistance systems: A survey

In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing attention. Effective ADAS requires awareness of the actual driving situation, a reliable assessment of the risks, and making rapid decisions on assisting actions. This paper reviews the current progress in these complementing subfields. The goal is...

Expecting the unexpected: A study of interactive driving behaviour at intersections

Given the high number of encounters in traffic and the low number of accidents in which these result, it can be concluded that road users are quite good at interacting safely. To achieve a better understanding of this interactive behaviour, this thesis focused on road users' expectancies. In an explorative study, the aspects road users mention...

Advanced driver assistance systems: Behavioural implications of some recent developments

The application of Intelligent Transportation Systems (ITS), in particular Advanced Driver Assistance Systems (ADAS), is expected to improve the performance of road transportation significantly. Public policy makers, among others, are therefore increasingly interested in the implementation of these systems. Available knowledge on various...