lane and vehicle detection for ADAS with Onnx/TensorRT

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Priority : FCWS/LDWS/LKAS
Vehicle detection and Lanes detection is becoming a reality using only vision sensors. using YOLOv5/YOLOv5-lite/YOLOv6/YOLOv7/YOLOv8/YOLOv9/YOLOv10/EfficientDet and UFLD/UFLDv2 .

👉 FCWS in this tutorial will cover :
- Judging the distance of the main vehicle according to the lane line.
- Three-segment reminder display.

👉 LDWS in this tutorial will cover :
- According to the lane line and the center of the vehicle, it is judged whether to offset the road.
- Lane deviation will display a red warning line reminder.

👉 LKAS in this tutorial will cover :
- Judging the curvature by performing perspective transformation based on the detected
vehicle line.

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📌 SourceCode:

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📌 Others Related Demo:

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📌 HashTags:
#deeplearning
#objecttracking
#bytetrack
#objectdetection
#yolov10
#yolov9
#yolov8
#yolov7
#yolov6
#yolov5
#yolov5lite
#efficientdet
#lanedetection
#ufld
#ufldv2
#前方碰撞警示
#車道偏移警示
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Автор

Hello, if you can add an tutorial how can we run the model and thanks ❤️❤️

AGI.ROBOTICS
Автор

Hello sir there is one error I'm getting related to input and output size, please help me resolve that

tomhandson