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A Multi-perspective Approach To Anomaly Detection For Self-aware
  Embodied Agents

A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents

17 March 2018
Mohamad Baydoun
Mahdyar Ravanbakhsh
Damian Campo
P. Marín
David Martín
L. Marcenaro
Andrea Cavallaro
C. Regazzoni
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Papers citing "A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents"

3 / 3 papers shown
Title
Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier
  Factor Algorithm
Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm
Hassan Alsawadi
Muhammad Bilal
6
1
0
24 Apr 2021
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian
  models for abnormality detection
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection
D. Thekke Kanapram
Pablo Marín-Plaza
L. Marcenaro
David Martín
A. D. L. Escalera
C. Regazzoni
18
15
0
29 Oct 2020
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from
  Human Driving
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving
Mahdyar Ravanbakhsh
Mohamad Baydoun
Damian Campo
P. Marín
David Martín
L. Marcenaro
C. Regazzoni
32
24
0
07 Jun 2018
1