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Reducing Overconfidence Predictions for Autonomous Driving Perception
v1v2 (latest)

Reducing Overconfidence Predictions for Autonomous Driving Perception

IEEE Access (IEEE Access), 2022
16 February 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
ArXiv (abs)PDFHTML

Papers citing "Reducing Overconfidence Predictions for Autonomous Driving Perception"

3 / 3 papers shown
Title
Fine-Grained Uncertainty Quantification via Collisions
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
486
0
0
18 Nov 2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software
  Elements in Automotive Applications
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale
Alireza Abbaspour
Devesh Upadhyay
222
6
0
13 Feb 2024
Reducing the False Positive Rate Using Bayesian Inference in Autonomous
  Driving Perception
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception
Gledson Melotti
Johann J. S. Bastos
Bruno L. S. da Silva
Tiago Zanotelli
C. Premebida
125
0
0
09 Sep 2023
1