Waymo Deploys 29 Cameras, 5 Lidars; Tesla Claims Camera-Only Autonomy
Waymo’s robotaxis use 29 cameras, five lidars and six radars to exceed human-driving safety standards while aiming to cut sensor counts in future models. Tesla’s vice president of AI asserts that existing cameras provide sufficient data and that autonomy is an AI problem, not a sensor limitation.
1. Waymo Emphasizes Safety With Multi-Sensor Array
Waymo’s robotaxi fleet currently integrates 29 cameras, five lidar units and six radar sensors to achieve safety performance above human driving standards. Vice president of onboard software Srikanth Thirumalai said the company iterates sensor counts to balance cost reductions with rigorous incident-rate targets and plans fewer sensors in upcoming robotaxi versions while enhancing AI-driven perception software.
2. Tesla Maintains Camera-Only Approach
Tesla’s vice president of AI, Ashok Elluswamy, reiterated that the existing suite of onboard cameras delivers sufficient data for autonomous driving and that the core challenge lies in AI software rather than sensor hardware. Tesla has disabled radar units in current vehicles, citing a camera-only architecture as a simpler, more scalable path to full self-driving capabilities.
3. Potential Impact on Tesla Valuation
The ongoing debate may influence investor sentiment as cost structures, safety benchmarks and regulatory approvals hinge on sensor strategies. Camera-only proponents highlight lower hardware expenses, while multi-sensor advocates stress safety margins, potentially affecting Tesla’s self-driving revenue forecasts and valuation multiples in an increasingly competitive autonomy market.