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自動(dòng)駕駛-課國內(nèi)首個(gè)BEV感知全棧系列學(xué)習(xí)教程

2023-07-21 07:59 作者:每天一個(gè)拼課小技巧__  | 我要投稿

Waymo:?jiǎn)文?,雙目,雷達(dá)點(diǎn)云

  • consists of 798 training sequences and 202 validation sequences. The dataset also includes 150 test sequences without ground truth data. The dataset provides object labels in the full 360?field of view with a multi-camera rig. We only use the front camera and only consider object labels in the front-camera’s field of view (50.4?) for the task of monocular object detection, and provide results on the validation se- quences. We sample every 3rd frame from the training sequences to form our training set (51,564 samples) due to the large dataset size and high frame rate

  • 10epochs on the Waymo Open Datase

  • a NVIDIA Tesla V100 (32G) GPU.


自動(dòng)駕駛-課國內(nèi)首個(gè)BEV感知全棧系列學(xué)習(xí)教程的評(píng)論 (共 條)

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