25 citations · 64 across the 9 of their papers we have counts for
11 papers
Textual Explanations and Their Evaluations for Reinforcement Learning Policy
Ahmad Terra, Mohit Ahmed, Rafia Inam +2
Understanding a Reinforcement Learning (RL) policy is crucial for ensuring that autonomous agents behave according to human expectations. This goal can be achieved using Explainabl…
Transitional Grid Maps: Joint Modeling of Static and Dynamic Occupancy
José Manuel Gaspar Sánchez, Leonard Bruns, Jana Tumova +2
Autonomous agents rely on sensor data to construct representations of their environments, essential for predicting future events and planning their actions. However, sensor measure…
Industrial Edge-based Cyber-Physical Systems -- Application Needs and Concerns for Realization
Martin Törngren, Haydn Thompson, Erik Herzog +3
Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers and requirements for…
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness
José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren +6
Edge computing is projected to have profound implications in the coming decades, proposed to provide solutions for applications such as augmented reality, predictive functionalitie…
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang, Jianbo Tao, Kaige Tan +9
Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driv…
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and Control
Lars Svensson, Martin Törngren
Traction adaptive motion planning and control has potential to improve an an automated vehicle's ability to avoid accident in a critical situation. However, such functionality requ…
Traction Adaptive Motion Planning at the Limits of Handling
Lars Svensson, Monimoy Bujarbaruah, Arpit Karsolia +2
In this paper, we address the problem of motion planning and control at the limits of handling, under locally varying traction conditions. We propose a novel solution method where…
A Method towards the Systematic Architecting of Functionally Safe Automated Driving -- Leveraging Diagnostic Specifications for FSC design
Naveen Mohan, Martin Törngren, Sagar Behere
With the advent of ISO 26262 there is an increased emphasis on top-down design in the automotive industry. ISO 26262 lacks detailed requirements for its various constituent phases.…
Architecting Safety Supervisors for High Levels of Automated Driving
Martin Törngren, Xinhai Zhang, Naveen Mohan +5
The complexity of automated driving poses challenges for providing safety assurance. Focusing on the architecting of an Autonomous Driving Intelligence (ADI), i.e. the computationa…
AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts
Naveen Mohan, Martin Törngren
Automated Driving is revolutionizing many of the traditional ways of operation in the automotive industry. The impact on safety engineering of automotive functions is arguably one…
Adaptive Trajectory Planning and Optimization at Limits of Handling
Lars Svensson, Monimoy Bujarbaruah, Nitin Kapania +1
In this paper, we tackle the problem of trajectory planning and control of a vehicle under locally varying traction limitations, in the presence of suddenly appearing obstacles. We…