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09/08/2023
Realistic pedestrian behaviour in the CARLA simulator using VR and mocap
Simulations are gaining increasingly significance in the field of autono...
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06/23/2023
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to ...
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03/20/2023
Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving
The traditional simulation methods present some limitations, such as the...
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12/07/2022
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Motion prediction systems aim to capture the future behavior of traffic ...
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11/03/2022
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof
New emerging technologies powered by Artificial Intelligence (AI) have t...
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10/28/2022
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability
Predicting the motion of other road agents enables autonomous vehicles t...
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07/04/2022
Vehicle Trajectory Prediction on Highways Using Bird Eye View Representations and Deep Learning
This work presents a novel method for predicting vehicle trajectories in...
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06/01/2022
Towards view-invariant vehicle speed detection from driving simulator images
The use of cameras for vehicle speed measurement is much more cost effec...
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06/01/2022
Insertion of real agents behaviors in CARLA autonomous driving simulator
The role of simulation in autonomous driving is becoming increasingly im...
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04/20/2021
Data-driven vehicle speed detection from synthetic driving simulator images
Despite all the challenges and limitations, vision-based vehicle speed d...
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03/19/2021
From driving automation systems to autonomous vehicles: clarifying the terminology
The terminological landscape is rather cluttered when referring to auton...
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03/05/2021
Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles
Autonomous driving systems are set to become a reality in transport syst...
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02/12/2021
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs
Autonomous vehicles navigate in dynamically changing environments under ...
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01/15/2021
Vision-based Vehicle Speed Estimation for ITS: A Survey
The need to accurately estimate the speed of road vehicles is becoming i...
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01/13/2021
Video action recognition for lane-change classification and prediction of surrounding vehicles
In highway scenarios, an alert human driver will typically anticipate ea...
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08/26/2020
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Pedestrian crossing prediction is a crucial task for autonomous driving....
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08/25/2020
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles
In highway scenarios, an alert human driver will typically anticipate ea...
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04/30/2020