Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 1, 2019Open Access

Vehicle state estimation based on Kalman filters

View Full Paper
Ask AI
Bookmark
Share

Authors

MBMattia BersaniPolitecnico di MilanoMVMichele VignatiPolitecnico di MilanoSMSimone MentastiTwitter (United States)

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Bersani et al. (2019) studied this question.

synapsesocial.com/papers/6a1cfb8a164c88e7165d9a66https://doi.org/10.23919/eeta.2019.8804527
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrating INS Sensors With GPS Measurements for Continuous Estimation of Vehicle Sideslip, Roll, and Tire Cornering Stiffness2006 · 348 citations
  2. 2A Cost-Effective Sideslip Estimation Method Using Velocity Measurements From Two GPS Receivers2014 · 75 citations
  3. 3Dual extended Kalman filter for vehicle state and parameter estimation2005 · 406 citations
  4. 4UKF‐based adaptive variable structure observer for vehicle sideslip with dynamic correction2016 · 65 citations
  5. 5A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles2015 · 86 citations