NCDTech
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sim-driving-mlp-numpy

obstacle-avoidance

Model card Files Files and versions

yuncheol-ncdtech commited on 27 days ago

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@@ -62,7 +62,8 @@ print(cmd, angle)
 The studio stage where the model's four inputs are defined: ultrasonic sensors
 F/L/R/B with datasheet-based noise models, checked by the built-in self QA/QC
 checklist. On the right, the local LLM explains a warning from that checklist,
-citing the stage report as its basis.
 ![Sensor definition stage in the simulation studio](assets/05_sim_studio_sensors.png)
@@ -107,4 +108,4 @@ are shown in our companion dataset:
 검증 정확도 97.2 %, 각도 오차 약 6.9°. 파일 안에 정규화 통계와 572 에포크 학습
 이력 전체가 함께 들어 있어 학습 곡선을 그대로 확인할 수 있습니다.
-Learn more: https://huggingface.co/NCDTech · https://www.ncdtech.org

 The studio stage where the model's four inputs are defined: ultrasonic sensors
 F/L/R/B with datasheet-based noise models, checked by the built-in self QA/QC
 checklist. On the right, the local LLM explains a warning from that checklist,
+citing the stage report as its basis. This screen is a frame from our
+[demo video (22 min, Korean)](https://youtu.be/ftsw_vbfw6E).
 ![Sensor definition stage in the simulation studio](assets/05_sim_studio_sensors.png)
 검증 정확도 97.2 %, 각도 오차 약 6.9°. 파일 안에 정규화 통계와 572 에포크 학습
 이력 전체가 함께 들어 있어 학습 곡선을 그대로 확인할 수 있습니다.
+Learn more: https://huggingface.co/NCDTech · https://www.ncdtech.org · Demo video: https://youtu.be/ftsw_vbfw6E