Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation
Authors: Joshua Hernandez, Konstantine Tsotsos, Stefano Soatto
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | To validate the analysis, we run repeated trials to estimate the state of the platform under different motion but identical alignment (the camera is rigidly connected to the IMU) using our experimental platform [Tsotsos et al., 2015]. ... Additionally, we conducted Monte-Carlo experiments on the model in simulation using stationary and time-varying biases while undergoing sufficiently exciting motion. Figures 4 and 5 show the resulting estimation errors of alignment states for 50 trials each using a constant and white-noise driven bias respectively. |
| Researcher Affiliation | Academia | Joshua Hernandez and Konstantine Tsotsos and Stefano Soatto University of California, Los Angeles {jheez,ktsotsos,soatto}@ucla.edu |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper mentions using an "experimental platform [Tsotsos et al., 2015]" and "Monte-Carlo experiments on the model in simulation" but does not provide concrete access information (link, DOI, repository, or formal citation with authors/year) for a publicly available or open dataset used in the empirical validation. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) for training, validation, or testing. |
| Hardware Specification | No | The paper mentions using an "experimental platform" but does not provide any specific hardware details such as GPU/CPU models, processor types, or memory amounts used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers (e.g., library or solver names like Python 3.8, CPLEX 12.4). |
| Experiment Setup | No | The paper does not contain specific experimental setup details such as concrete hyperparameter values, training configurations, or system-level settings. |