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碰撞预警： For collision warning, this system uses CenterNet
信号灯检测： an object detection network with ResNet-18 backbone to achieve a good detection speed and acceptable accuracy
距离估计：perspective transform with calibration is used to estimate the distances from system vehicle to other vehicles ahead （base on ResNet-18）
车道线偏离预警：U-Net and ResNet-18 backbone is used
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Aster 2022-08-27
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车道线检测 fast-lane也用的是ResNet18，关于train------需要原图和二值图以及txt标签文件进行模型训练。
Aster 2022-08-27
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fast-lane restNet只选择56行进行点的检测
Aster 2022-08-28
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two main components: a CenterNet based object detection neural network and a ResNet-18 based traffic sign classification network.
Aster 2022-08-28
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In this project, I use MobileNetV2 and ResNet-18 as the backbone of CenterNet.
Aster 2022-08-27
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There are six main modules in this system, which are: object detection module, lane detection module, sensing module, warning control module, user interface module and simulation
Aster 2022-08-27
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(i) forward collision warning with forward vehicles and pedestrians, (ii) lane analysis and lane departure warning, (iii) sign detection for maximum speed limit signs and over-speed warning.
Aster 2022-08-27
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Object detection need conversion code to ONNX
Aster 2022-08-27
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This computer receives two inputs: (i) images from a camera, and (ii) car sensor data such as car speed and turn signal.
