项目结构大变
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@@ -6,12 +6,16 @@
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class KalmanFilter {
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public:
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KalmanFilter();
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void update(const cv::Point2f& measurement);
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cv::Point2f predict();
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// Method to update the process noise based on target movement characteristics
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void updateProcessNoise(const cv::Point2f& current_measurement);
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cv::Point2f get_last_measurement() const { return last_measurement; }
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cv::Point2f get_last_prediction() const { return last_prediction; }
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cv::Point2f get_current_velocity() const; // New method to get current velocity
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bool is_initialized() const { return initialized; }
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private:
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@@ -19,8 +23,16 @@ private:
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bool initialized;
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cv::Point2f last_measurement;
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cv::Point2f last_prediction;
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cv::Point2f prev_measurement;
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bool has_prev_measurement;
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// Store previous states for velocity and acceleration estimation
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cv::Point2f prev_velocity;
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double time_elapsed; // Time in seconds between measurements
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bool has_prev_velocity;
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void init_params();
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cv::Point2f estimate_velocity(const cv::Point2f& current, const cv::Point2f& previous);
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};
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#endif // KALMANFILTER_H
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