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09/20/2022
Traffic Accident Risk Forecasting using Contextual Vision Transformers
Recently, the problem of traffic accident risk forecasting has been gett...
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09/19/2022
Traffic incident duration prediction via a deep learning framework for text description encoding
Predicting the traffic incident duration is a hard problem to solve due ...
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12/03/2020
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks
Forecasting the trajectory of pedestrians in shared urban traffic enviro...
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06/08/2020
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images
LiDAR data is becoming increasingly essential with the rise of autonomou...
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06/04/2020
Refined Continuous Control of DDPG Actors via Parametrised Activation
In this paper, we propose enhancing actor-critic reinforcement learning ...
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07/08/2019
A convergent FV-FEM scheme for the stationary compressible Navier-Stokes equations
In this paper, we propose a discretization of the multi-dimensional stat...
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05/22/2019
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data
Point cloud data from 3D LiDAR sensors are one of the most crucial senso...
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04/22/2019