Python package for the evaluation of odometry and SLAM
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Updated
Apr 18, 2026 - Python
Python package for the evaluation of odometry and SLAM
CLI-first QA toolkit for point clouds, trajectories, and 3D perception outputs. Evaluate map post-processing, SLAM runs, and geometry regressions with reports, gates, and web inspection.
Resources for SiTAR, a situated trajectory analysis system for AR which provides in-the-wild pose error estimates
Timestamp Align between the trajs. from VICON & Estimated from Algo.
Toolkits for trajectory alignment and evaluation
6-DoF ego-motion estimation in CARLA using RGB-D visual odometry — ORB features, PnP-RANSAC, and ATE evaluation
End-to-end agent evaluation — trajectory eval, tool-use correctness, cost-per-task, latency budgets, regression suites with golden trajectories, LLM-as-judge with calibration. For full agent runs, not just classifiers.
Sanity checks for using small VLM rerankers (Qwen3‑VL 2B) to score candidate driving trajectories from natural‑language instructions.
🌟 Develop EvoToken-DLM, an innovative language model enhancing diffusion with soft token distributions for improved performance and flexibility.
Build OR optimization models with Openpangu-7B, supporting fine-tuning, automated modeling, constraint generation, and variable pruning
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