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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 cs.ROShow all

5 papers · 1 filter

cs.RO2023

Realistic pedestrian behaviour in the CARLA simulator using VR and mocap

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

Simulations are gaining increasingly significance in the field of autonomous driving due to the demand for rapid prototyping and extensive testing. Employing physics-based simulati…

cs.RO2023★ 2 cited

Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving

Sergio Martín Serrano, Rubén Izquierdo, Iván García Daza +2

This paper presents the results of tests of interactions between real humans and simulated vehicles in a virtual scenario. Human activity is inserted into the virtual world via a v…

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.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.RO2021★ 12 cited

Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles

Iván García Daza, Monica Rentero, Carlota Salinas Maldonado +4

Autonomous driving systems are set to become a reality in transport systems and, so, maximum acceptance is being sought among users. Currently, the most advanced architectures requ…