8 citations · 15 across the 12 of their papers we have counts for
7 papers · 1 filter
Transformer based trajectory prediction
Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Motion prediction is an extremely challenging task which recen…
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
The correct characterization of uncertainty when predicting human motion is equally important as the accuracy of this prediction. We present a new method to correctly predict the u…
Sub-millisecond Video Synchronization of Multiple Android Smartphones
Azat Akhmetyanov, Anastasiia Kornilova, Marsel Faizullin +2
This paper addresses the problem of building an affordable easy-to-setup synchronized multi-view camera system, which is in demand for many Computer Vision and Robotics application…
Comparison of modern open-source visual SLAM approaches
Dinar Sharafutdinov, Mark Griguletskii, Pavel Kopanev +5
SLAM is one of the most fundamental areas of research in robotics and computer vision. State of the art solutions has advanced significantly in terms of accuracy and stability. Unf…
Best Axes Composition: Multiple Gyroscopes IMU Sensor Fusion to Reduce Systematic Error
Marsel Faizullin, Gonzalo Ferrer
In this paper, we propose an algorithm to combine multiple cheap Inertial Measurement Unit (IMU) sensors to calculate 3D-orientations accurately. Our approach takes into account th…
Open-Source LiDAR Time Synchronization System by Mimicking GNSS-clock
Marsel Faizullin, Anastasiia Kornilova, Gonzalo Ferrer
Data fusion algorithms that employ LiDAR measurements, such as Visual-LiDAR, LiDAR-Inertial, or Multiple LiDAR Odometry and simultaneous localization and mapping (SLAM) rely on pre…
Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds
Anastasiia Kornilova, Gonzalo Ferrer
This paper addresses the problem of assessing trajectory quality in conditions when no ground truth poses are available or when their accuracy is not enough for the specific task -…