/********************************************************************************************************************* Copyright (c) 2020 RoboSense All rights reserved By downloading, copying, installing or using the software you agree to this license. If you do not agree to this license, do not download, install, copy or use the software. License Agreement For RoboSense LiDAR SDK Library (3-clause BSD License) Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the names of the RoboSense, nor Suteng Innovation Technology, nor the names of other contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. *********************************************************************************************************************/ #include #ifdef ENABLE_PCL_POINTCLOUD #include #else #include #endif //#define ORDERLY_EXIT // Define the macro: 1 to enable IMU parsing, 0 to disable IMU parsing #define ENABLE_IMU_PARSE 1 typedef PointXYZI PointT; typedef PointCloudT PointCloudMsg; using namespace robosense::lidar; SyncQueue> free_cloud_queue; SyncQueue> stuffed_cloud_queue; SyncQueue> free_imu_data_queue; SyncQueue> stuffed_imu_data_queue; // // @brief point cloud callback function. The caller should register it to the lidar driver. // Via this fucntion, the driver gets an free/unused point cloud message from the caller. // @param msg The free/unused point cloud message. // std::shared_ptr driverGetPointCloudFromCallerCallback(void) { // Note: This callback function runs in the packet-parsing/point-cloud-constructing thread of the driver, // so please DO NOT do time-consuming task here. std::shared_ptr msg = free_cloud_queue.pop(); if (msg.get() != NULL) { return msg; } return std::make_shared(); } // // @brief point cloud callback function. The caller should register it to the lidar driver. // Via this function, the driver gets/returns a stuffed point cloud message to the caller. // @param msg The stuffed point cloud message. // void driverReturnPointCloudToCallerCallback(std::shared_ptr msg) { // Note: This callback function runs in the packet-parsing/point-cloud-constructing thread of the driver, // so please DO NOT do time-consuming task here. Instead, process it in caller's own thread. (see processCloud() // below) stuffed_cloud_queue.push(msg); } // // @brief IMU data callback function. The caller should register it to the lidar driver. // Via this function, the driver gets/returns a stuffed IMU data message to the caller. // @param msg The stuffed IMU data message. // std::shared_ptr driverGetIMUDataFromCallerCallback(void) { // Note: This callback function runs in the packet-parsing/imu-data-constructing thread of the driver, // so please DO NOT do time-consuming task here. std::shared_ptr msg = free_imu_data_queue.pop(); if (msg.get() != NULL) { return msg; } return std::make_shared(); } // // @brief IMU data callback function. The caller should register it to the lidar driver. // Via this function, the driver gets/returns a stuffed IMU data message to the caller. // @param msg The stuffed IMU data message. // void driverReturnImuDataToCallerCallback(const std::shared_ptr& msg) { // Note: This callback function runs in the packet-parsing/imu-data-constructing thread of the driver, // so please DO NOT do time-consuming task here. Instead, process it in caller's own thread. (see processImuData() below) stuffed_imu_data_queue.push(msg); } bool to_exit_process = false; void processImuData(void) { uint32_t imu_cnt = 0; while (!to_exit_process) { std::shared_ptr msg = stuffed_imu_data_queue.popWait(); if (msg.get() == NULL) { continue; } // Well, it is time to process the IMU data msg, even it is time-consuming. imu_cnt++; #if 0 RS_MSG << "msg: " << imu_cnt << " imu data ts: " <timestamp) << RS_REND; RS_DEBUG <<"imu data: " << " , linear_a_x" << msg->linear_acceleration_x << " , linear_a_y " << msg->linear_acceleration_y << " , linear_a_z" << msg->linear_acceleration_z << " , angular_v_x " << msg->angular_velocity_x << " , angular_v_y" << msg->angular_velocity_y << " , angular_v_z" <angular_velocity_z << RS_REND; #endif free_imu_data_queue.push(msg); } } // // @brief exception callback function. The caller should register it to the lidar driver. // Via this function, the driver inform the caller that something happens. // @param code The error code to represent the error/warning/information // void exceptionCallback(const Error& code) { // Note: This callback function runs in the packet-receving and packet-parsing/point-cloud_constructing thread of the // driver, // so please DO NOT do time-consuming task here. RS_WARNING << code.toString() << RS_REND; } void processCloud(void) { while (!to_exit_process) { std::shared_ptr msg = stuffed_cloud_queue.popWait(); if (msg.get() == NULL) { continue; } // Well, it is time to process the point cloud msg, even it is time-consuming. RS_MSG << "msg: " << msg->seq << " point cloud size: " << msg->points.size() << RS_REND; #if 0 for (auto it = msg->points.begin(); it != msg->points.end(); it++) { std::cout << std::fixed << std::setprecision(8) << "(" << it->x << ", " << it->y << ", " << it->z << ", " << (int)it->intensity << ", " << it->timestamp << ")" << std::endl; } #endif free_cloud_queue.push(msg); } } int main(int argc, char* argv[]) { RS_TITLE << "------------------------------------------------------" << RS_REND; RS_TITLE << " RS_Driver Core Version: v" << getDriverVersion() << RS_REND; RS_TITLE << "------------------------------------------------------" << RS_REND; RSDriverParam param; ///< Create a parameter object param.input_type = InputType::ONLINE_LIDAR; param.input_param.msop_port = 6699; ///< Set the lidar msop port number, the default is 6699 param.input_param.difop_port = 7788; ///< Set the lidar difop port number, the default is 7788 #if ENABLE_IMU_PARSE param.input_param.imu_port = 6688; ///< Set the lidar imu port number, the default is 0 #endif param.lidar_type = LidarType::RSAIRY; ///< Set the lidar type. Make sure this type is correct param.print(); LidarDriver driver; ///< Declare the driver object driver.regPointCloudCallback(driverGetPointCloudFromCallerCallback, driverReturnPointCloudToCallerCallback); ///< Register the point cloud callback functions driver.regExceptionCallback(exceptionCallback); ///< Register the exception callback function #if ENABLE_IMU_PARSE driver.regImuDataCallback(driverGetIMUDataFromCallerCallback, driverReturnImuDataToCallerCallback); #endif if (!driver.init(param)) ///< Call the init function { RS_ERROR << "Driver Initialize Error..." << RS_REND; return -1; } std::thread cloud_handle_thread = std::thread(processCloud); #if ENABLE_IMU_PARSE std::thread imuData_handle_thread = std::thread(processImuData); #endif driver.start(); ///< The driver thread will start RS_DEBUG << "RoboSense Lidar-Driver Linux online demo start......" << RS_REND; #ifdef ORDERLY_EXIT std::this_thread::sleep_for(std::chrono::seconds(10)); driver.stop(); to_exit_process = true; cloud_handle_thread.join(); #else while (true) { std::this_thread::sleep_for(std::chrono::seconds(1)); } #endif return 0; }