In this paper we exploit an advanced spatio-temporal disaggregation technique to extract insights from ANPR data.

More specifically, we visualise and analyse spatial and temporal insights from vehicle detections along street segments in a dense network of ANPR cameras in ...

This paper visualise and analyse spatial and temporal insights from vehicle detections along street segments in a dense network of ANPR cameras in the ...

In this paper we exploit an advanced spatio-temporal disaggregation technique to extract insights from ANPR data. More specifically, we visualise and analyse ...

Oct 8, 2022 · In this paper we exploit an advanced spatio-temporal disaggregation technique to extract insights from ANPR data. More specifically, we ...

Utilizing the data from CAVs thus supports the trajectory reconstruction of fully-sampled traffic flow and enables sophisticated evaluation of traffic states.

Co-authors ; Making sense of ANPR data via intelligent spatio-temporal disaggregation of traffic flows. M Dhont, E Tsiporkova, N González-Deleito, B Cornelis.

Making sense of ANPR data via intelligent spatio-temporal disaggregation of traffic flows. M Dhont, E Tsiporkova, N González-Deleito, B Cornelis.

... Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows . in 2022 IEEE 25th International Conference on Intelligent ...

Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows. Conference Paper. Oct 2022. Michiel Dhont ...