Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources

14 August 2023

Papers citing "Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources"

8 / 8 papers shown

Title
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation Delun Lai Yeyubei Zhang Yunchong Liu Chaojie Li Huadong Mo 36 0 0 26 Apr 2025
Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality Sven Goblirsch Marcel Weinmann Johannes Betz 37 5 0 27 Aug 2024
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture Manuel Mar Vishnu Pandi Chellapandi Liangqi Yuan Ziran Wang Eric Dietz 34 2 0 04 Feb 2024
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way Ignacio Vizzo Tiziano Guadagnino Benedikt Mersch Louis Wiesmann Jens Behley C. Stachniss 3DPC 87 261 0 30 Sep 2022
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge Johannes Betz Tobias Betz F. Fent Maximilian Geisslinger Alexander Heilmeier ... Florian Sauerbeck Tim Stahl Rainer Trauth Frederik Werner A. Wischnewski 34 60 0 31 May 2022
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds Kenny Chen B. Lopez Ali-akbar Agha-mohammadi Ankur M. Mehta 56 131 0 01 Oct 2021
Competitive Driving of Autonomous Vehicles G. Hartmann Z. Shiller A. Azaria 24 8 0 12 Sep 2021
FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter Wenyuan Xu Fu Zhang 66 601 0 16 Oct 2020