Search Results for author: Cristofer Englund

Found 8 papers, 1 papers with code

Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks

no code implementations26 Apr 2022 Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund

Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achievements over the past years; however, for using DNNs in safety critical applications, we are missing approaches for verifying the robustness of such models.

Outlier Detection Out-of-Distribution Detection

A dataset for multi-sensor drone detection

no code implementations2 Nov 2021 Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund

To counteract the mentioned issues and allow fundamental studies with a common public benchmark, we contribute with an annotated multi-sensor database for drone detection that includes infrared and visible videos and audio files.

AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control

no code implementations7 Apr 2021 Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Bjorn Astrand

This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.

Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks

no code implementations29 Mar 2021 Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund

Understanding the relationship between training results and supervisor performance is valuable to improve robustness of the model and indicates where more work has to be done to create generalized models for safety critical applications.

Outlier Detection Out-of-Distribution Detection

Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors

1 code implementation14 Jul 2020 Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez

Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task.

Towards Structured Evaluation of Deep Neural Network Supervisors

no code implementations4 Mar 2019 Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing

Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years.

Action and intention recognition of pedestrians in urban traffic

no code implementations23 Oct 2018 Dimitrios Varytimidis, Fernando Alonso-Fernandez, Boris Duran, Cristofer Englund

Action and intention recognition of pedestrians in urban settings are challenging problems for Advanced Driver Assistance Systems as well as future autonomous vehicles to maintain smooth and safe traffic.

Autonomous Driving Intent Detection +1

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