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https://e2e.ti.com/support/sensors-group/sensors/f/sensors-forum/1371549/awr1843boost-need-to-know
器件型号:AWR1843BOOST工具与软件:
您好!
我正在使用" automatically_parking_18xx "用于从检索数据的代码 AWR1843BOOST .
代码输出以下结构:
Header Structure (MmwDemo_output_message_header): Description: This structure serves as metadata for the radar data packet. Attributes: platform: Identifier for the platform on which the radar is operating. magicWord: A 64-bit magic word used for frame synchronization. numDetectedObj: Number of detected objects in the frame. version: Information about the software development kit (SDK) version. totalPacketLen: Total length of the packet. timeCpuCycles: Timestamp represented in CPU cycles. frameNumber: Frame number. subFrameNumber: Subframe number within the frame. numTLVs: Number of TLV (Type-Length-Value) elements present in the packet. Generalised : TLV Element Structure (MmwDemo_output_message_tl): Description: Represents a TLV element within the radar data packet. Attributes: type: Type of data contained in the TLV element (e.g., detected points, side info). length: Length of the TLV data in bytes. 1. Detected Points (MMWDEMO_OUTPUT_MSG_DETECTED_POINTS): Data Structure: DPIF_PointCloudCartesian Represents a point in a 3D Cartesian coordinate system. Attributes: x: X coordinate of the point. y: Y coordinate of the point. z: Z coordinate of the point. velocity: Velocity associated with the point. 2. Detected Points Side Info (MMWDEMO_OUTPUT_MSG_DETECTED_POINTS_SIDE_INFO): Data Structure: DPIF_PointCloudSideInfo Contains side information associated with a point cloud. Attributes: snr: Signal-to-noise ratio (SNR) of the detected object. noise: Noise level associated with the detected object. 3. Range Profile (MMWDEMO_OUTPUT_MSG_RANGE_PROFILE): Data Structure: uint16_t[] Array of uint16_t representing the intensity of the radar return signal at different range bins. 4. Noise Profile (MMWDEMO_OUTPUT_MSG_NOISE_PROFILE): Data Structure: uint16_t[] Array of uint16_t representing the noise level at different range bins. 5. Azimuth Static Heat Map (MMWDEMO_OUTPUT_MSG_AZIMUT_STATIC_HEAT_MAP): Data Structure: cmplx16ImRe_t[] Array of cmplx16ImRe_t structures representing complex values representing the distribution of objects in the azimuth domain. 6. Range Doppler Heat Map (MMWDEMO_OUTPUT_MSG_RANGE_DOPPLER_HEAT_MAP): Data Structure: uint16_t[][] 2D array of uint16_t representing intensity values representing the distribution of objects in the range-doppler domain. 7. Stats (MMWDEMO_OUTPUT_MSG_STATS): Data Structure: MmwDemo_output_message_stats Structure containing statistics information related to radar operation. 8. Temperature Stats (MMWDEMO_OUTPUT_MSG_TEMPERATURE_STATS): Data Structure: MmwDemo_temperatureStats Structure containing temperature statistics, such as sensor temperature
我的目标是将雷达用于紧急制动系统。 如果检测到前方有物体、汽车应停止行驶。 但是、MMWDEMO_OUTPUT_MSG_DETECTED_POINTS 中的数据并不表示我是在接收对象的质心还是曲面。 此外、它不提供物体的宽度、这是创建边界框和确定物体是否在汽车路径中所必需的。
您能否说明 MMWDEMO_OUTPUT_MSG_DETECTED_POINTS 代表什么?
此外、 需要哪些结构来确定紧急制动系统的物体的宽度和位置(如果需要)?
提前感谢您。
您好!
使用雷达传感器时、由于角分辨率不足、无法测量物体的宽度。
谢谢你
Cesar
那么使用多个雷达传感器是可行的吗?
此外、 MMWDEMO_OUTPUT_MSG_DETECTED_POINTS 能说明什么? 它们是哪些点? 或什么?
即使有多个传感器也可能无法实现。
检测点将是传感器接收到的最强反射。 没有关于反射在表面中心或一侧位置的信息。
谢谢你
Cesar