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Tesla Autopilot car detector runs twice as fast with 16-bit TensorRT

, 3 items in AI Driven Vehicles and Transportation, 2 min read

In this digest (3 items)

Tesla Autopilot car detector runs about twice as fast using 16-bit TensorRT on an RTX 4060, dropping frame time from 31.3 ms to 16.6 ms. Accuracy changes from 0.501 to 0.500 and matches 96.6% of the original boxes. An 8-bit version is 4.2× faster but finds only 48% of cars on a night drive.

Key points

  • 16-bit TensorRT on RTX 4060 reduces per-frame time from 31.3 ms to 16.6 ms (≈32 fps to 60 fps).

  • Accuracy shifts from 0.501 to 0.500 and matches 96.6% of original detections.

  • 8-bit version is 4.2× faster but detects only 48% of cars on night drive.

Sources

HackerTube filters 43M comments to 6,454 videos

HackerTube filtered 43 million YouTube comments spanning 20 years to 6,454 recommended videos, improving viewing experience. The work was done in an afternoon using Claude and took about 2 hours with Opus 5.5.

Key points

  • Filtered 43M comments over 20 years of HN to 6,454 videos

  • Process took ~2 hours with Opus 5.5

Sources

Freightliner Cascadia humanless run Houston to Dallas

Freightliner Cascadia was recognized by Daimler Truck North America for a historic humanless run from Houston to Dallas. The run is described in a “The First Mile” story linked by the author.

Key points

  • Recognition: Daimler Truck North America honored the run.

  • Route: The run covered the distance from Houston to Dallas.

Sources