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20202023
most citedTowards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs

14 citations · 44 across the 14 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.AI2022

Towards Explainable Motion Prediction using Heterogeneous Graph Representations

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +2

Motion prediction systems aim to capture the future behavior of traffic scenarios enabling autonomous vehicles to perform safe and efficient planning. The evolution of these scenar…

cs.RO2022★ 14 cited

Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +3

Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path planning. This task is very complex, as the behaviour of road agents depen…

cs.CV2022★ 1 cited

Vehicle Trajectory Prediction on Highways Using Bird Eye View Representations and Deep Learning

Rubén Izquierdo, Álvaro Quintanar, David Fernández Llorca +4

This work presents a novel method for predicting vehicle trajectories in highway scenarios using efficient bird's eye view representations and convolutional neural networks. Vehicl…

cs.CV2022★ 1 cited

Towards view-invariant vehicle speed detection from driving simulator images

Antonio Hernández Martínez, David Fernandez Llorca, Iván García Daza

The use of cameras for vehicle speed measurement is much more cost effective compared to other technologies such as inductive loops, radar or laser. However, accurate speed measure…

cs.RO2022

Insertion of real agents behaviors in CARLA autonomous driving simulator

Sergio Martín Serrano, David Fernández Llorca, Iván García Daza +1

The role of simulation in autonomous driving is becoming increasingly important due to the need for rapid prototyping and extensive testing. The use of physics-based simulation inv…

cs.AI2022★ 1 cited

Testing predictive automated driving systems: lessons learned and future recommendations

Rubén Izquierdo Gonzalo, Carlota Salinas Maldonado, Javier Alonso Ruiz +3

Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels. These app…