* @brief Get current x * @return Current x */

* @brief Get current y * @return Current y */

* @brief Line iterator's end condition * @return If true continue iteration, else finish line iteration */

* @brief Get next new image. * @param src_img Output image */

// Feature map reduction // In each cell we reduce dimension of the feature vector // according to original paper special procedure // // API // int P

* @brief Add operation with array * @param pose_array a array include x, y, theta. */

* @brief Pop the data from the buffer and get the popped item * @param item Item to be popped from the buffer * @return True if buffer is not em

* @brief Return the image after use * @param return_index Index gets from function 'int NextImage(cv::Mat &src_img)' */

* @brief Particle filter sample initialize */

* @brief Set the index of the child node to tick * @param children_node_index The expected index of the child node to tick */

* @brief Set the inflation layer prototxt path for the inflaiton layer to read in * @param path The file path. */

* @brief Set all elements to zero */

// Getting feature map for the selected subimage // // API // int getFeatureMaps(const IplImage * image, const int k, featureMap **map); // INPUT // i

// Feature map Normalization and Truncation // // API // int normalizeAndTruncate(featureMap *map, const float alfa); // INPUT // map -

* @brief Constructor of ActionNode * @param name Name of the behavior node * @param blackboard_ptr Blackboard of the behavior node */