schema_version: 1 vehicle: vehicle_id: "outdoor_usable_20260808" body_frame: name: "base_link" # 车体约定:后轮轴中心在地面投影为原点附近参考;X 前 / Y 左 / Z 上 # translation_m 的 Z 使用「离地高度」;后轮轴中心离地 294 mm axes: "X forward, Y left, Z up" unit: m reference_point: "rear_axle_center_xy__z_above_ground" rear_axle_height_above_ground_m: 0.294 installation: installation_id: "20260808_priority_windows" installed_at: "2026-08-08" notes: > HI13R4 + H32 DLogCapture. Body +X forward: LiDAR and IMU at positive X. CAD sheet may draw +X rearward; numbers below are body-frame. Z is height above ground = CAD height at axle + 0.294 m (axle AGL). LiDAR CAD dZ is 1637.499879 mm relative to the axle reference. Phase-center AGL adds rear-axle height 294 mm and the 63.5 mm phase-center offset. IMU axes: HI13R4 manual §2.4 RFU (X right, Y forward, Z up). LiDAR Cartesian in NPZ assumed body-aligned (X forward). sensors: imu: model: "HI13R4" raw_frame: # HI13R4 用户手册 2.4:右-前-上 (RFU) axes: "X right, Y forward, Z up (RFU)" driver_axis_remapped: false mount_in_body: # X/Y:后轮轴中心 → IMU;Z:离地 = CAD 0.8925 + 0.294 translation_m: [2.574126255, 0.0365, 1.1865] # body <- imu : p_body = R_body_imu * p_imu # R_body_imu = [[0,1,0],[-1,0,0],[0,0,1]] (fwd=imu_y, left=-imu_x, up=imu_z) rotation_matrix_body_imu: [[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, 1.0]] rotation_quaternion_xyzw: null source: "CAD X/Y in body (+X forward); Z = CAD axle-height + 294mm AGL + HI13R4 RFU" lidar: model: "RSLidarH32" points_field: points raw_frame: axes: "X forward, Y left, Z up (Cartesian metres in NPZ points)" driver_axis_remapped: false mount_in_body: # X/Y:后轮轴中心 → 雷达 # Z离地 = CAD dZ 1.637499879 + 后轮轴离地 0.294 + 相位中心偏移 0.0635 translation_m: [2.522276859, 0.000020526, 1.994999879] rotation_matrix_body_lidar: [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] rotation_quaternion_xyzw: null source: "CAD X/Y in body (+X forward); Z AGL = CAD dZ 1.637499879 + axle AGL 0.294 + phase-center offset 0.0635; attitude = body" rtk: frame_definition: "" reference_point: "" existing_T_RTK_LIDAR_file: "" time: imu_timestamp_source: "hi13_device_timestamp_ms_seconds" lidar_timestamp_source: "h32_msop_device_timestamp_seconds" lidar_frame_time_definition: "t_start/t_end in frames_index.csv; pipeline uses midpoint" host_bridge: "MSOP HostReceiveUtcTicks + IMU receive_utc_ticks" # Derived prior for p_IMU = R_IMU_lidar * p_lidar + t_IMU_lidar # t_body = t_lidar_body - t_imu_body # t_IMU_lidar = R_IMU_body * t_body, R_IMU_lidar = R_IMU_body * R_body_lidar derived_T_IMU_lidar_prior: R_IMU_lidar: [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]] t_IMU_lidar_m: [0.036479474, -0.051849396, 0.808499879] t_lidar_from_imu_in_body_m: [-0.051849396, -0.036479474, 0.808499879] notes: > Rotation prior ~90 deg yaw (body/lidar X-fwd vs IMU Y-fwd). Relative Z = 1.994999879 - 1.1865 = 0.808499879 m. initialization: translation_prior: enabled: true sigma_m: [0.05, 0.05, 0.05] t_IMU_lidar_m: [0.036479474, -0.051849396, 0.808499879] rotation_prior: enabled: true sigma_deg: 15.0 R_IMU_lidar: [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]]