void initialize(const Camera<S> &camera, const noiseParams<S> &noise_params, const MSCKFParams<S> &msckf_params, const imuState<S> &imu_state) { // Constructor: camera_ = camera; noise_params_ = noise_params; msckf_params_ = msckf_params; num_feature_tracks_residualized_ = 0; imu_state_ = imu_state; pos_init_ = imu_state_.p_I_G; imu_state_.p_I_G_null = imu_state_.p_I_G; imu_state_.v_I_G_null = imu_state_.v_I_G; imu_state_.q_IG_null = imu_state_.q_IG; imu_covar_ = noise_params.initial_imu_covar; last_feature_id_ = 0; // Initialize the chi squared test table with confidence // level 0.95. chi_squared_test_table.resize(99); for (int i = 1; i < 100; ++i) { boost::math::chi_squared chi_squared_dist(i); chi_squared_test_table[i - 1] = boost::math::quantile(chi_squared_dist, 0.05); } // TODO: Adjust for 0-sized covar? }
时间: 2024-02-15 14:27:15 浏览: 165
simple-TCP-client.rar_C# TCP client_C++ tcp client_TCP client_s
这是一段 C++ 代码,其中定义了一个名为 initialize 的函数,该函数接受四个参数:相机对象 camera,噪声参数对象 noise_params,MSCKF 参数对象 msckf_params,IMU 状态对象 imu_state。
函数的作用是初始化 MSCKF(Multi-State Constraint Kalman Filter)对象。在函数体内,首先将传入的参数赋值给相应的成员变量;然后将一些状态量初始化;接着计算卡方检验表,用于后面的特征点跟踪;最后,TODO 表示还需要进行一些调整。
具体的实现需要查看更多代码才能确定。
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