Search Results for author: Nicola Bellotto

Found 7 papers, 1 papers with code

Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations

no code implementations1 Jul 2021 Abdalkarim Mohtasib, Amir Ghalamzan E., Nicola Bellotto, Heriberto Cuayáhuitl

We compared the performances of our novel classifier and the existing models using our dataset and the MIME dataset.

Domain Adaptation

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior

no code implementations26 Mar 2020 Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat, Charles W. Fox

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets.

Autonomous Driving

Wavelet-based Temporal Models of Human Activity for Anomaly Detection in Smart Robot-assisted Environments

no code implementations26 Feb 2020 Manuel Fernandez-Carmona, Nicola Bellotto

This paper presents a new approach for temporal modelling of long-term human activities with smart-home sensors, which is used to detect anomalous situations in a robot-assisted environment.

Anomaly Detection

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking

no code implementations26 Feb 2020 Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets.

Autonomous Driving

Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber

1 code implementation24 Feb 2020 Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager, Tom Duckett, Markus Vincze, Nicola Bellotto

The proposed system is based on multiple sensors including 3D and 2D lidar, two RGB-D cameras and a stereo camera.

Robotics

A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios

no code implementations3 Apr 2019 Qinbing Fu, Nicola Bellotto, Huatian Wang, F. Claire Rind, Hongxin Wang, Shigang Yue

This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios.

Autonomous Vehicles

A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment

no code implementations23 Aug 2018 Qinbing Fu, Nicola Bellotto, Shigang Yue

With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely low-level visual processing, so as to implement direction selective neurons in the fly's visual system, which are mainly sensitive to wide-field translational movements in four cardinal directions.

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