Search Results

Collaborative Vehicular Perception (CVP) enables connected and autonomous vehicles (CAVs) to cooperatively extend their views through wirelessly sharing their sensor data. Existing CVP systems employ either a vehicle-to-vehicle (V2V) or vehicle-to-...

It is challenging for older drivers to transition to manual control after a Take-Over Request (TOR) has been issued by a Level 3 car. This study investigated if the presentation source of the TOR affects driver performance when resuming control. We ...

Autonomous vehicles and human drivers are prone to line-of-sight limitations. Road-side mounted 3D sensors like LiDARs can augment a vehicle's on-board perception. However, this entails fusing 3D frames at low latency and high accuracy. Road-side and ...

Emerging autonomous intersection management systems control the entry order and trajectory for connected and autonomous vehicles ready to traverse a road intersection. They aim to compute trajectories that are safe and optimal in order to reduce ...

Cooperative perception significantly enhances the perception performance of connected autonomous vehicles. Instead of purely relying on local sensors with limited range, it enables multiple vehicles and roadside infrastructures to share sensor data to ...

Autonomous vehicles use 3D sensors for perception. Cooperative perception enables vehicles to share sensor readings with each other to improve safety. Prior work in cooperative perception scales poorly even with infrastructure support. AUTOCAST¹ enables ...

Technological solutions available to public agencies in delivering public services have increased, including the information and communication technologies (ICTs) used in public transit. For many women who depend on public transit services to ...

Connected and Autonomous Vehicles (CAVs) heavily rely on 3D sensors such as LiDARs, radars, and stereo cameras. However, 3D sensors from a single vehicle suffer from two fundamental limitations: vulnerability to occlusion and loss of details on far-away ...

The aim of this research was to investigate whether preferences of U.S. adults regarding autonomous vehicles have changed in the past decade. We believe this to be indicative of the effect of cultural shifts over time in preferences regarding robots, ...

Swarms of cyber-physical systems (CPSs) find their application in many domains. Smart traffic is a very prominent application increasingly taking advantage of the self-organizing capabilities of swarms. In this paper we se and extend existing models ...

Ethical and social problems of the emerging technology of self-driving cars can best be addressed through an applied engineering ethical approach. However, currently social and ethical problems are typically being presented in terms of an idealized ...

In this paper, we present an application of genetic algorithms to a problem of optimizing a car trajectory in a closed loop car race setting. The goal is to minimize the amount of turning that the car needs to do such that it can drive faster, or the ...

We introduce the Autonomous Vehicle Acceptance Model (AVAM), a model of user acceptance for autonomous vehicles, adapted from existing models of user acceptance for generic technologies. A 26-item questionnaire is developed in accordance with the model ...

Smart cars are among the essential components and major drivers of future cities and connected world. The interaction among connected entities in this vehicular internet of things (IoT) domain, which also involves smart traffic infrastructure, ...

As an envisaged future of transportation, self-driving cars are being discussed from various perspectives, including social, economical, engineering, computer science, design, and ethical aspects. On the one hand, self-driving cars present new ...

This paper presents formative research to inform the design of intelligent automotive user interfaces. It describes an evaluation of dialogue-based interfaces, mediating the driver to take back control from the autonomous mode of a car. Four concepts ...

Semi-autonomous vehicles occasionally require control to be handed over to the driver in situations where the vehicle is unable to operate safely. Currently, such handover requests require the driver to take control almost instantaneously. We ...

As self-driving cars have grown in sophistication and ability, they have been deployed on the road in both localised tests and as regular private vehicles. In this paper we draw upon publicly available videos of autonomous and assisted driving (...

The operating of semi-autonomous vehicles foresees so-called handovers, which refers to the transition of control from driver to vehicle or vice-versa. While the initiation and respective signaling of such handovers is actively being researched and ...

With progress in enabling autonomous cars to drive safely on the road, it is time to start asking how they should be driving. A common answer is that they should be adopting their users' driving style. This makes the assumption that users want their ...