Why Rivian Combines Cameras and LiDAR

要約

30 秒でわかる

In this short clip, an unidentified speaker describes Rivian's use of cameras around a vehicle and explains why LiDAR can complement them in difficult lighting and fog. The speaker also says LiDAR is useful for training cameras.

1Multiple sensorsThe speaker argues that a vehicle benefits from more than the two-camera equivalent of human eyes.
2Camera coverageThe speaker describes 65 megapixels of cameras positioned around the vehicle, with overlapping coverage in some areas.
3LiDAR's complementary roleThe speaker says LiDAR helps in low or bright light and fog and is useful for training cameras.

ポイント

The speaker argues that multiple sensors offer advantages over relying on a pair of cameras.
Cameras around the vehicle provide coverage, with redundancy in some areas, according to the speaker.
The speaker says LiDAR complements cameras in difficult lighting and fog and helps train cameras.

トピックSelf-Driving Cars Computer Vision

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Cameras and LiDAR

The speaker describes multiple cameras around a vehicle. LiDAR offers complementary capabilities and can help train the cameras.

We're vision-based beings: we see the world through our eyes. But a vehicle benefits from multiple sensors, rather than just one camera or two cameras like a human's two eyes. In our case, we have 65 megapixels of cameras behind you and around the corners, providing coverage without blind spots. Some areas even have redundant coverage.

LiDAR is particularly helpful for seeing precisely in low-light, bright-light or foggy conditions. Its strengths do not completely overlap with a camera’s.

It's incredibly useful for training your cameras.