Rivian's advanced driver-assistance system has made significant strides, surpassing legacy competitors like General Motors but remaining behind Tesla's Full Self-Driving capabilities on non-highway roads. The company's new Autonomy+ system represents a major leap forward in the automaker's autonomous driving ambitions, though it still needs to master the complex task of navigating city streets with traffic lights and signs before it can truly compete with Tesla's more comprehensive system.

How Does Rivian's System Compare to Tesla's FSD?

A recent hands-on evaluation by CNBC's Michael Wayland tested both systems across hundreds of miles of real-world driving. The key differences reveal where each company stands in the race toward true autonomous driving.

• Highway Performance: Rivian's Autonomy+ handles highway driving exceptionally well with minimal intervention, though it cannot yet change lanes on its own. Tesla's FSD (Supervised) v14 manages highway driving seamlessly and also handles lane changes automatically.
• City Street Navigation: Rivian's system detects traffic lights and signs but does not act on them, only alerting drivers. Tesla's system handled every traffic signal, interchange, and exit ramp encountered during nearly 200 miles of testing in Michigan.
• Complex Scenarios: Tesla's system demonstrated the ability to navigate traffic circles, perform parallel parking, handle construction zones, and manage obstacles like semitruck blockages. Rivian's system still requires assistance in certain locations such as roundabouts.
• Point-to-Point Capability: Tesla's system allows drivers to input a destination and the vehicle navigates there autonomously. Rivian expects to deliver this capability later this year but has not yet achieved it.

Why Is the Gap Between Highway and City Driving So Large?

The jump from highway to city street driving represents one of the most challenging transitions in autonomous vehicle development. Highways offer predictable conditions with clear lane markings, consistent speeds, and fewer obstacles. City streets introduce chaos: intersections, pedestrians, bicycles, construction, and ambiguous traffic rules that challenge even the most advanced artificial intelligence systems.

Tesla's in-vehicle AI system explained this challenge during testing, noting that highways have predictable lanes and fewer pedestrians, making sensor fusion and path prediction simpler. City streets bring unpredictability that requires more sophisticated decision-making. This explains why Tesla has achieved hands-free capability on both highway and non-highway roads while Rivian remains focused on expanding its highway capabilities first.

What Are the Pricing and Safety Differences?

The two systems take different approaches to both cost and safety guardrails. Tesla's FSD (Supervised) costs $99 per month, while Rivian's Autonomy+ is priced at $49.99 per month or $2,500 for a lifetime purchase. General Motors' Super Cruise falls between them at $39.99 per month or $399 annually.

Beyond pricing, Rivian is emphasizing safety guardrails that Tesla does not employ. James Philbin, senior vice president of autonomy and AI at Rivian, explained the company's philosophy on this distinction.

"I hope that we can even exceed the Tesla system because of our investments in a more robust sensor stack. We're actually a big believer in multimodal imaging, so cameras and radars," said James Philbin.

James Philbin, Senior Vice President of Autonomy and AI at Rivian

Rivian's approach relies on multiple types of sensors working together, which the company believes provides additional safety redundancy compared to Tesla's camera-centric vision system. This design philosophy reflects different philosophies about how to achieve safe autonomous driving.

What Does Rivian's Vertical Integration Strategy Mean for Competition?

Rivian credits its rapid improvements to vertical integration, meaning the company builds more of its autonomous driving technology in-house rather than relying on external suppliers. This approach includes developing a new generation of software and electric architecture specifically designed for autonomous capabilities.

Industry analysts view this strategy favorably. Piper Sandler analyst Alexander Potter upgraded Rivian's stock last month, noting that the company's self-reliant approach to building next-generation machines using in-house expertise positions it well for the future. As Rivian's vehicle production volume increases, the company should be better able to monetize software and services, a key financial benefit of vertical integration.

The stakes are high because advanced driver-assistance systems are increasingly important to both drivers and investors, who view ADAS as growth markets with recurring revenue potential for automakers. Unlike one-time vehicle purchases, subscription-based autonomous driving features generate ongoing income streams that can significantly boost profitability.

When Will Rivian Achieve Full Point-to-Point Driving?

Rivian's leadership has committed to delivering point-to-point driving capability later this year, which would represent a major milestone in the company's autonomous driving journey. This capability would allow vehicles to navigate from a starting point to a destination with minimal driver intervention, similar to what Tesla's system already does.

However, it is important to note that no vehicle on sale today is truly self-driving or autonomous in the full sense. All advanced driver-assistance systems, including both Rivian's and Tesla's, require drivers to remain attentive and ready to take control at any moment. Concerns about driver inattentiveness have grown as these systems become more capable, with YouTube filled with examples of drivers misusing such systems or relying on them too heavily.

The handover from autonomous systems back to human drivers can be abrupt and potentially dangerous if drivers are not paying close attention. Additionally, there is currently little regulation governing these systems, with each company taking different approaches to safety and capability development.