Python package for the evaluation of odometry and SLAM
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Updated
Aug 14, 2026 - Python
Python package for the evaluation of odometry and SLAM
CI quality gates for SLAM, point clouds, perception, and 3D reconstruction.
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.
Clinescope is an AI evaluation tool that lives in your Cline development workflow, reads your logs, and helps you write better prompts by checking tool choices, catching messy code rewrites, and ensuring updates don't break past work.
A world model as a judge: early, auditable verdicts on partial robot-manipulation rollouts
Clean public mirror for a biology tool-use trajectory benchmark with validated Stage A post-training artifacts
Evaluate SLAM trajectory accuracy against ground truth — APE, RPE, Umeyama alignment, and publication-ready plots. No ROS required.
Sanity checks for using small VLM rerankers (Qwen3‑VL 2B) to score candidate driving trajectories from natural‑language instructions.
Timing, synchronization, and trajectory quality gates for UAV multisensor experiments.
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.
Agentic AI for pharmaceutical supply operations, and the trajectory eval harness that proves it works. Measures the path not just the answer: tool precision, step efficiency, hallucinated-argument rate, unauthorized-write detection, loop/budget controls, and a CI release gate. Zero runtime deps, runs offline.
Build OR optimization models with Openpangu-7B, supporting fine-tuning, automated modeling, constraint generation, and variable pruning
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