A new software deployment for Tesla’s camera-based “Vision” system has achieved a significant and innovative safety feat. Tesla is now utilizing camera-based neural networks to predict collisions before they physically occur, allowing the vehicle to deploy safety restraints like airbags and seatbelt pretensioners milliseconds earlier than traditional impact sensors.Beyond SensorsHistorically, airbag deployment has relied on physical accelerometers and pressure sensors that trigger only after a collision has begun. While effective, this reactive approach loses critical milliseconds during the initial “crush” phase of an accident. By leveraging the external camera suite, Tesla’s latest OTA (Over-the-Air) update enables the vehicle to “see” an unavoidable collision and prepare the cabin environment before impact.This predictive capability targets …
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Author: Yash Bajaj
