Part 9/15:
Fully Self-Driving (FSD): The Vision-Only Approach
A critical area of debate is Tesla’s decision to focus solely on camera-based vision systems for autonomous driving, aiming to remove lidar and radar sensors. Omar passionately defends this strategy, emphasizing that Tesla’s deep learning models, trained on immense data sets, enable superior scene understanding.
He contrasts Tesla’s visual-centric approach with lidar-dependent systems like Waymo, which rely on laser scanning. Omar argues that visual AI—predicting future movements by analyzing video input—is more scalable and cost-effective, citing Tesla’s rapid advancements and proprietary data.