cyy 6085ff7383 Step 2: FenceModel calibration replaces hardcoded ±2.5m
- fence_model.hpp: Line2D + FenceModel with wall positions
- session_mapper: RANSAC yaw fit + percentile boundary + cone clustering
- localizer: setFenceModel(), use calibrated walls in correctWithScanCV
- main.cpp: CALIBRATING→READY state machine (30 scan frames)
- /nav_metrics publisher (5Hz JSON metrics)
- mppi_alive/min_cost exposed via LocalPlanner public members
- endpoint-only path_align (EXACT-MPPI PathFollowCritic style)
- adaptive exploration ratio based on survival rate
2026-07-03 06:56:28 +00:00
2026-07-03 06:14:36 +00:00
Description
精简版雷达+里程计导航避障
215 KiB
Languages
C++ 88.7%
Python 10%
CMake 1.3%