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KISS-Keep It Static SLAMMOT-The Cost of Integrating Moving Object Tracking into an EKF-SLAM Algorithm.

Nicolas Mandel1, Nils Kompe1, Moritz Gerwin1

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Summary
This summary is machine-generated.

We introduce Keep it Static SLAMMOT (KISS), an EKF-SLAM extension that effectively handles moving objects. This approach improves dynamic object tracking accuracy and reduces safety distance errors compared to existing methods.

Keywords:
Bayesian filteringEKFSLAMSLAMMOTdynamic landmarksfilteringobject tracking

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Area of Science:

  • Robotics
  • Computer Vision
  • Simultaneous Localization and Mapping (SLAM)

Background:

  • Handling moving objects in SLAM is a significant challenge in robotics.
  • Existing methods may struggle with accurate dynamic object tracking and map consistency.

Purpose of the Study:

  • To propose and evaluate an extension of EKF-SLAM, named KISS, for incorporating moving objects.
  • To analyze the impact of static and dynamic objects on SLAM performance.
  • To compare the proposed method against the state-of-the-art DATMO algorithm.

Main Methods:

  • Extended the robotic vision toolbox to simulate the influence of moving objects.
  • Utilized two linear and one nonlinear motion models for dynamic objects.
  • Introduced a safety-distance-error metric for evaluating distance accuracy to dynamic objects.

Main Results:

  • False positives (static landmark as moving object) had minimal impact on map distortion and ATE.
  • False negatives (moving object as static landmark) significantly degraded map quality and performance.
  • KISS demonstrated comparable map distortion and ATE to state-of-the-art methods while achieving superior dynamic object tracking with lower safety-distance-error.

Conclusions:

  • Explicitly modeling dynamic objects is crucial for robust SLAM performance.
  • The KISS approach, using a simple constant position model for uncertain motion, offers an effective solution.
  • This research provides valuable insights for future SLAM algorithms integrating moving objects.