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Представленный набор данных с открытым исходным кодом позволяет изучать сложные городские дорожные ситуации, используя полный комплект датчиков настоящего беспилотного автомобиля.

Включает в себя:

  • 48000 изображений с камеры
  • 16000 движений LiDAR
  • +100 сцен по 8 секунд в каждой
  • 28 классов аннотаций
  • 37 меток семантической сегментации
  • Полный набор датчиков: 1x механический LiDAR, 1x твердотельный LiDAR, 6x камеры, встроенный GPS / IMU

Данные были собраны с помощью минивэна Chrysler Pacifica, на котором установлен набор камер и Hesai LiDAR. Маршруты были тщательно спланированы, чтобы продемонстрировать сложные сценарии городского вождения: крутые холмы, строительство, плотное движение и пешеходов, а также различные времена дня и условия освещения утром, днем, в сумерках и вечером.

Получить более подробную информацию о проекте, а также скачать набор данных можно по ссылке.

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