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stAte: Mitigation of Radiation Effects on the Attitude Estimation Processing of Autonomous Things

Inertial navigation systems (INS) for safety-critical autonomous objects such as unmanned vehicles and satellites usually have to cope with position and orientation errors provoked by integrating drift and noise from their inertial sensors. Attitude estimation and control algorithms embedded in INS as well as complementary global navigation satellite system (GNSS)-like technologies act hence to periodically correct object's position and orientation by compensating inaccurate data coming from inertial sensors. Furthermore, INS have to deal with space-to-ground high-energy ionizing radiation effects in their semiconductor devices (e.g. processors and memories) as energetic radiation particles are capable to lead INS's embedded algorithms to failing in properly estimating the object's attitude and controlling safety-critical functions. stAte project aims to investigate high-energy ionizing radiation effects in INS's computing systems, more specifically, during the INS's attitude estimation processing, devising embedded software-level solutions for mitigation of radiation-induced errors and related failures.

Consortium

Project information

  • Start: October 2020
  • End: September 2023
  • General coordination:
    • Rodrigo POSSAMAI BASTOS
  • Principal investigators:
    • Université Grenoble Alpes (UGA) / TIMA:
      • Rodrigo POSSAMAI BASTOS
    • Université Grenoble Alpes (UGA) / GIPSA:
      • Hassen FOURATI
  • PhD student:
    • Université Grenoble Alpes (UGA) / TIMA & GIPSA:
      • Tarso KRAEMER SARZI SARTORI
  • Current and former interns:
    • Université Grenoble Alpes (UGA) / TIMA:
      • 2022:
        • Guilherme AKIRA ALVES DOS SANTOS
        • Luiz HENRIQUE LAURINI
      • 2021:
        • Joao Paolo SALES BRUM
        • Jiaru LIN
  • Consortium funding:
    • Agency: ANR-11-LABX-0025-01
    • Call: PhD thesis LabEx PERSYVAL-Lab
    • Grant: ~110 k€

Acknowledgments

stAte project is partially supported by LabEx PERSYVAL-Lab (ANR-11-LABX-0025-01), which is funded by the French program PIA (“Programme d'Investissements d’Avenir”).

PERSYVAL

  1. Tarso Kraemer Sarzi Sartori, Hassen Fourati, Manon Letiche, and Rodrigo Possamai Bastos. Assessment of Radiation Effects on Attitude Estimation Processing for Autonomous Things, IEEE Transactions on Nuclear Science, 2022;
  2. T. Kraemer Sarzi Sartori, H. Fourati, A. Justus Rajappa, P. Reiter, and R. Possamai Bastos, Effectiveness of Attitude Estimation Processing Approaches in Tolerating Radiation Soft Errors, Conference on Radiation Effects on Components and Systems (RADECS), Oct 2022, Venice, Italy;
  3. Rodrigo Possamai Bastos. Radiation effects in tiny machine learning systems and attitude estimation processing modules for autonomous things, 17th International School on the Effects of Radiation on Embedded Systems for Space Applications (SERESSA 2021), Nov 2021, Virtual event;
  4. Joao Paolo Sales Brum, Tarso Kraemer Sarzi Sartori, Jiaru Lin, Matheus Garay Trindade, Hassen Fourati, Raoul Velazco, Rodrigo Possamai Bastos, Evaluation of Attitude Estimation Algorithm under Soft Error Effects, IEEE Latin-American Test Symposium (LATS), Oct 2021, Virtual event;
  5. Tarso Kraemer Sarzi Sartori, Hassen Fourati, Matheus Garay Trindade, and Rodrigo Possamai Bastos, Assessment of Attitude Estimation Processing System under Neutron Radiation Effects, Conference on Radiation Effects on Components and Systems (RADECS), Sep 2021, Vienna, Austria;
public/start.txt · Last modified: 2022/11/10 13:09 by Rodrigo.Bastos@univ-grenoble-alpes.fr