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Vehicle Trajectory Prediction on Highways Using Bird Eye View Representations and Deep Learning
The U-net model has been selected as the prediction kernel to generate future visual representations of the scene using an image-to-image regression approach.
Towards view-invariant vehicle speed detection from driving simulator images
In this paper, we study the same problem using multiple cameras in different virtual locations and with different extrinsic parameters.
Data-driven vehicle speed detection from synthetic driving simulator images
In this paper we explore, for the first time, the use of synthetic images generated from a driving simulator (e. g., CARLA) to address vehicle speed detection using a learning-based approach.
Vision-based Vehicle Speed Estimation: A Survey
The need to accurately estimate the speed of road vehicles is becoming increasingly important for at least two main reasons.
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