Medsegdiff: Medical image segmentation with diffusion probabilistic model
Abstract Diffusion Probabilistic Model (DPM) has recently become one of the hottest topics in
computer vision. Its image generation applications, such as Imagen, Latent Diffusion …
computer vision. Its image generation applications, such as Imagen, Latent Diffusion …
Attention-based interrelation modeling for explainable automated driving
Automated driving desires better performance on tasks like motion planning and interacting
with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high …
with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high …
Real-time trust prediction in conditionally automated driving using physiological measures
Trust calibration poses a significant challenge in the interaction between drivers and
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …
Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty
With rapid development in hardware (sensors and processors) and AI algorithms, automated
driving techniques have entered the public's daily life and achieved great success in …
driving techniques have entered the public's daily life and achieved great success in …
The comfort of the soft-safety driver alerts: Measurements and evaluation
With the development of automated driving systems and V2I (vehicle-to-infrastructure)
communications, soft-safety driver alerts can be implemented to supplement imminent driver …
communications, soft-safety driver alerts can be implemented to supplement imminent driver …
[HTML][HTML] Trust in automated vehicles: constructs, psychological processes, and assessment
There is a growing body of research on trust in driving automation systems. In this paper, we
seek to clarify the way trust is conceptualized, calibrated and measured taking into account …
seek to clarify the way trust is conceptualized, calibrated and measured taking into account …
Connectivity enhanced safe neural network planner for lane changing in mixed traffic
Connectivity technology has shown great potentials in improving the safety and efficiency of
transportation systems by providing information beyond the perception and prediction …
transportation systems by providing information beyond the perception and prediction …
A theoretical model to explain mixed effects of trust repair strategies in autonomous systems
The topic of an autonomous system initiating trust repair has generated intense interest from
researchers and has led to a stream of empirical works studying the impact of different trust …
researchers and has led to a stream of empirical works studying the impact of different trust …
It matters who is crossing: users' trust when the automated vehicle stops for children and blind pedestrians
In urban environments, automated driving offers the opportunity to improve traffic flow,
heighten user comfort and also increase traffic safety for vulnerable road users. To realize …
heighten user comfort and also increase traffic safety for vulnerable road users. To realize …
Critical roles of explainability in shaping perception, trust, and acceptance of autonomous vehicles
Despite the advancements in autonomous vehicles (AVs) and their potential benefits,
widespread acceptance of AVs remains low due to the significant barrier of trust. While prior …
widespread acceptance of AVs remains low due to the significant barrier of trust. While prior …