When will Waymo robotaxis be available to everyone?

Waymo's robotaxis are currently operational and expanding their services in select cities in the United States, with China's Apollo Go also rapidly growing.

What is Level 4 autonomy in self-driving cars?

Level 4 autonomy means the vehicle can handle all driving tasks and monitor the driving environment in specific operational design domains without human intervention.

How is Nvidia's Alpamayo AI platform changing autonomous driving?

Alpamayo enables autonomous vehicles to reason through rare scenarios, drive safely in complex environments, and explain their driving decisions, marking a significant step in physical AI.

Home / Technology / AI Cars Take Over CES: Are You Ready to Ditch the Wheel?

AI Cars Take Over CES: Are You Ready to Ditch the Wheel?

9 Jan

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Summary

Fully autonomous Level 4 robotaxis are being tested and deployed by Waymo and Apollo Go.
Uber is debuting a Lucid robotaxi for San Francisco later this year.
AI advances in Level 2 systems are making driving more automated but drivers remain responsible.

AI Cars Take Over CES: Are You Ready to Ditch the Wheel?

The Consumer Electronics Show (CES) has been dominated by advancements in artificial intelligence for autonomous vehicles, promising a future where drivers can relinquish control. Companies like Waymo and China's Apollo Go have already proven the reliability of fully autonomous, or Level 4, driving. Uber is also entering the fray, planning to deploy its own robotaxis in San Francisco later this year, signaling intense competition in the autonomous ride-sharing market.

While the dream of mass-market Level 4 autonomy remains years away due to regulatory and societal acceptance roadblocks, the progress in AI is undeniable. Startups like Only Tensor are showcasing luxury Level 4 vehicles, though with limited autonomous capabilities. The industry is also seeing significant growth in Level 2 assisted driving systems, which offer enhanced automation while keeping the driver legally responsible. These systems are becoming more efficient thanks to AI, requiring fewer expensive sensors.