mlsanityData to 7 Oct 2026

Particle Filter SLAM for Vehicle Localization

arXiv 2402.07429 ↗First posted 12 Feb 2024cs.AIcited by 20

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Abstract (arXiv)

Simultaneous Localization and Mapping (SLAM) presents a formidable challenge in robotics, involving the dynamic construction of a map while concurrently determining the precise location of the robotic agent within an unfamiliar environment. This intricate task is further compounded by the inherent "chicken-and-egg" dilemma, where accurate mapping relies on a dependable estimation of the robot's location, and vice versa. Moreover, the computational intensity of SLAM adds an additional layer of complexity, making it a crucial yet demanding topic in the field. In our research, we address the challenges of SLAM by adopting the Particle Filter SLAM method. Our approach leverages encoded data and fiber optic gyro (FOG) information to enable precise estimation of vehicle motion, while lidar technology contributes to environmental perception by providing detailed insights into surrounding obstacles. The integration of these data streams culminates in the establishment of a Particle Filter SLAM framework, representing a key endeavor in this paper to effectively navigate and overcome the complexities associated with simultaneous localization and mapping in robotic systems.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 3 of its 29 references that are in the map. First posted on arXiv 12 Feb 2024.

Builds on

3 of 29 references.

References · 3

  1. 2024DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scanscited by 13
  2. 2022Joint Spatio-Temporal Precoding for Practical Non-Stationary Wireless Channelscited by 6
  3. 2022Proofs and Supplementary Material: Unified Characterization and Precoding for Non-Stationary Channelscited by 4

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Citing papers per year: 2024: 19; 2025: 1.

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  12. 2024Multi-Modal UAV Detection, Classification and Tracking Algorithm -- Technical Report for CVPR 2024 UG2 Challengecited by 9
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  2. 2024Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Drivingcited by 3
  3. 2024A Survey on Reinforcement Learning Applications in SLAMcited by 3
  4. 2024Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approachcited by 1
  5. 2024Advanced Feature Manipulation for Enhanced Change Detection Leveraging Natural Language Modelscited by 1
  6. 2024Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Populationcited by 1
  7. 2024End-To-End Training and Testing Gamification Framework to Learn Human Highway Drivingcited by 1
  8. 2025Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensingcited by 1