Environment Perception For Self-Driving Cars
所属分类：其他
开发工具：Python
文件大小：8630KB
下载次数：0
上传日期：2021-04-15 10:01:40
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终极幻想y
说明： 模拟自动驾驶汽车的环境感知问题，模拟完成：
利用语义分割神经网络的输出实现三维空间的可驱动空间估计。
利用语义分割神经网络的输出实现车道估计。
利用语义分割的输出来过滤二维目标检测器输出中的错误。
使用过滤后的2D目标检测结果确定障碍物距离自动驾驶汽车有多远。
(Simulating the environmental perception problem of autopilot, simulation completes the following questions:
Use the output of semantic segmentation neural networks to implement drivable space estimation in 3D.
Use the output of semantic segmentation neural networks to implement lane estimation.
Use the output of semantic segmentation to filter errors in the output of 2D object detectors.
Use the filtered 2D object detection results to determine how far obstacles are from the self-driving car.)
文件列表:
final_assignment\.ipynb_checkpoints\Environment Perception For Self-Driving Cars-checkpoint.ipynb (1767751, 2020-06-09)
final_assignment\data\depth\0.dat (11059200, 2020-02-14)
final_assignment\data\depth\1.dat (11059200, 2020-02-14)
final_assignment\data\depth\2.dat (11059200, 2020-02-14)
final_assignment\data\rgb\0.png (1420114, 2020-02-14)
final_assignment\data\rgb\1.png (1417133, 2020-02-14)
final_assignment\data\rgb\2.png (1148432, 2020-02-14)
final_assignment\data\segmentation\0.dat (3686400, 2020-02-14)
final_assignment\data\segmentation\1.dat (3686400, 2020-02-14)
final_assignment\data\segmentation\2.dat (3686400, 2020-02-14)
final_assignment\demo.jpg (459, 2020-02-22)
final_assignment\Environment Perception For Self-Driving Cars.ipynb (1767751, 2020-06-09)
final_assignment\images\image.png (328771, 2020-02-14)
final_assignment\images\lanes_1.png (316943, 2020-02-14)
final_assignment\images\lanes_2.png (321614, 2020-02-14)
final_assignment\images\lanes_final.png (322796, 2020-02-14)
final_assignment\images\occ_grid.png (21950, 2020-02-14)
final_assignment\m6bk.py (10351, 2020-02-22)
final_assignment\__pycache__\m6bk.cpython-37.pyc (8993, 2020-06-05)
final_assignment\data\depth (0, 2020-06-09)
final_assignment\data\rgb (0, 2020-06-09)
final_assignment\data\segmentation (0, 2020-06-09)
final_assignment\.ipynb_checkpoints (0, 2020-06-09)
final_assignment\data (0, 2020-06-09)
final_assignment\images (0, 2020-06-09)
final_assignment\__pycache__ (0, 2020-06-09)
final_assignment (0, 2020-06-09)
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