"Unable to link video sink" on Jetson Orin Nano

[lida2003]

Here is related issue but NOT the same platform: #10638

I have also met on Jetson Orin Nano 8GB , #12109

daniel@daniel-nvidia:~/Work/qgroundcontrol$ ./build/QGroundControl
qgc.qgcapplication: Settings location "/home/daniel/.config/QGroundControl.org/QGroundControl Daily.ini" Is writable?: true
Filter rules "*Log.debug=false\nqgc.*.debug=false\nGStreamerAPILog.debug=true\nqt.qml.connections=false"
PX4ParameterMetaDataLog: Invalid max value, name: "VTQ_TELEM_IDS_1"  type: 5  max: "4294967295"  error: "Value must be within 0 and 2147483647"
PX4ParameterMetaDataLog: Invalid value for bitmask, bit: 31
PX4ParameterMetaDataLog: Invalid max value, name: "VTQ_TELEM_IDS_1"  type: 5  max: "4294967295"  error: "Value must be within 0 and 2147483647"
PX4ParameterMetaDataLog: Invalid value for bitmask, bit: 31
PX4ParameterMetaDataLog: Invalid max value, name: "VTQ_TELEM_IDS_1"  type: 5  max: "4294967295"  error: "Value must be within 0 and 2147483647"
PX4ParameterMetaDataLog: Invalid value for bitmask, bit: 31
Adding target QHostAddress("127.0.0.1") 52824
VideoReceiverLog: Unable to link video sink
VideoReceiverLog: _addVideoSink() failed
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 279
NvMMLiteBlockCreate : Block : BlockType = 279

--
Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0]
NV Power Mode[0]: 15W
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:

• P-Number: p3767-0005
• Module: NVIDIA Jetson Orin Nano (Developer kit)
  Platform:
• Distribution: Ubuntu 20.04 focal
• Release: 5.10.216-tegra
  jtop:
• Version: 4.2.12
• Service: Active
  Libraries:
• CUDA: 11.4.315
• cuDNN: 8.6.0.166
• TensorRT: 8.5.2.2
• VPI: 2.4.8
• OpenCV: 4.9.0 - with CUDA: YES

Python Environment:
Python 3.8.10
GStreamer: YES (1.16.3)
NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)
OpenCV version: 4.9.0 CUDA True
YOLO version: 8.3.33
Torch version: 2.1.0a0+41361538.nv23.06
Torchvision version: 0.16.1+fdea156