activity
20152024
most citedCanadian Adverse Driving Conditions Dataset

235 citations · 850 across the 47 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.AI2021★ 1 cited

A taxonomy of strategic human interactions in traffic conflicts

Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

In order to enable autonomous vehicles (AV) to navigate busy traffic situations, in recent years there has been a focus on game-theoretic models for strategic behavior planning in…

cs.RO2021★ 11 cited

I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames

Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki

A particular challenge for both autonomous and human driving is dealing with risk associated with dynamic occlusion, i.e., occlusion caused by other vehicles in traffic. Based on t…

cs.AI2021★ 9 cited

Generalized dynamic cognitive hierarchy models for strategic driving behavior

Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki

While there has been an increasing focus on the use of game theoretic models for autonomous driving, empirical evidence shows that there are still open questions around dealing wit…

cs.SE2021★ 10 cited

Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty

Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo +3

Formal reasoning on the safety of controller systems interacting with plants is complex because developers need to specify behavior while taking into account perceptual uncertainty…

cs.LG2021

The missing link: Developing a safety case for perception components in automated driving

Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima +6

Safety assurance is a central concern for the development and societal acceptance of automated driving (AD) systems. Perception is a key aspect of AD that relies heavily on Machine…

cs.CV2021

SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection

Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki

Existing point-cloud based 3D object detectors use convolution-like operators to process information in a local neighbourhood with fixed-weight kernels and aggregate global context…