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Self-driving cars must do more than stay in a lane: they need to interpret changing roads, anticipate other people, and demonstrate that they operate safely within defined limits. In the United States, consumer vehicles currently available require drivers to remain fully attentive; Level 2 assistance is not full self-driving, while higher automation remains limited to testing or particular operating settings, according to NHTSA.
What do the automation levels mean?
The distinction matters because a driver’s role changes with the level of automation. NHTSA says Level 2 systems can assist with both steering and acceleration or braking, but the driver remains responsible and must stay engaged. Do not treat a vehicle with Level 2 features as a driverless car.
| Capability | What the system does | Human role |
|---|---|---|
| Level 2 assistance | Assists with steering and acceleration or braking | The driver must remain attentive, engaged, and responsible |
| Higher automation | Can perform more of the driving task within defined conditions | The role depends on the system and its operating conditions; it is not equivalent to a Level 2 system |
1. Perceiving complicated roads
A driving system must detect relevant road users and hazards, then interpret what it detects well enough to act. The NTSB says its investigations found functional limitations in developmental automated-driving systems, particularly in hazard detection and predicting how other road users will move. The inspected sources do not establish that any single sensor type solves these challenges.
2. Predicting people and unusual situations
Recognizing an object is not the same as knowing what it may do next. Drivers and other road users can move unpredictably, and a system has to respond safely as a scene changes. The NTSB identifies prediction of road-user movement as a limitation found in its investigations. SAE International’s 2025 report also describes the expectation that driver-assistance and automated-driving systems work perfectly in every scenario as a formidable challenge.
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3. Testing and proving safety
Developers and regulators need evidence that a system works in the conditions where it is intended to operate. The NTSB reports that public-road automated-vehicle testing requirements vary among states and that there are no federal safety risk-management requirements for such testing. This makes the scope and quality of testing important parts of the safety question.
A 2019 NHTSA overview set out four performance goals for self-driving vehicles: avoid crashes, protect occupants, obey traffic laws and norms, and complete the intended travel mission. These are goals from that historical overview, not a newly issued standard or proof that a particular system meets them.
4. Keeping drivers attentive and managing handoffs
Partial automation can leave a driver responsible for supervising a system, a role that can be difficult to sustain during uneventful stretches. The NTSB says drivers are susceptible to automation complacency and that steering-wheel interaction alone is inadequate as the predominant way to ensure engagement. NHTSA’s Level 2 description likewise makes clear that the driver must remain engaged and responsible.
These concerns apply to partial automation and driver monitoring. They should not be generalized into a claim that every driverless vehicle requires a human to take over.
5. Protecting vehicle software and systems
Vehicles rely on electronic and computing systems, so cybersecurity is also a safety concern. NHTSA describes a layered approach: protect safety-critical controls, detect and respond to incidents promptly, design systems for resilience and recovery, and share information across the industry. This is ongoing risk-management work, not evidence that a specific self-driving vehicle has been hacked.
6. Responding to emergency scenes and other road users
Automated vehicles need to respond appropriately to people and unusual traffic conditions, including active emergency scenes. In a statement dated July 8, 2026, NHTSA said it had documented instances of driverless automated vehicles entering active emergency scenes, blocking ambulances or firefighters, or failing to respond to cues such as flashing lights, flares, smoke, fire, and traffic cones. NHTSA’s statement gives no denominator, so these reports should not be presented as a frequency or rate.
7. Navigating regulation and oversight
Rules for testing and operating automated vehicles differ by jurisdiction, and policy can change. The NTSB describes varying state requirements for public-road testing and the absence of federal safety risk-management requirements for that testing. SAE International’s 2025 report also identifies reasonable regulation and standards, as well as how systems are tested, delivered, and used, as continuing challenges. These are U.S.-focused policy concerns, not a description of global law.
8. Resolving liability, insurance, and public trust
When driving responsibility shifts from a person to a system or provider, questions about who is responsible after a crash and how insurance should respond become harder. NHTSA identifies liability and insurance as policy questions to address as automated-driving systems mature. There is no single answer here: responsibility depends on the circumstances and applicable jurisdiction, and the reviewed NHTSA material does not resolve specific cases.
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Public understanding matters too. Calling Level 2 assistance fully self-driving can give drivers an inaccurate impression of what the system can do and who remains responsible. Clear descriptions of a system’s capability and limits are part of using it safely.
Why are self-driving cars not everywhere yet?
There is no single barrier. Systems must handle complex scenes and changing human behavior, be tested for their intended conditions, and operate within evolving rules. Driver attention, cybersecurity, emergency-scene behavior, liability, and public understanding also remain important parts of the challenge.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.FAQ
What are the biggest challenges with self-driving cars?
The main challenges include perceiving complex roads, predicting the behavior of people, proving safety through testing, managing driver attention in partially automated vehicles, protecting vehicle software, responding to emergency scenes, meeting regulatory requirements, and resolving liability and insurance questions.
Are self-driving cars safe?
Safety depends on the system, its capabilities, and the conditions in which it operates. NTSB investigations have identified functional limitations in developmental automated-driving systems. The available evidence here does not establish a universal safety verdict or a comparative crash rate for all systems.
Who is liable if a self-driving car crashes?
There is no blanket answer. NHTSA identifies liability and insurance as policy questions, but the material reviewed does not settle responsibility for particular crashes or across jurisdictions.
Can self-driving cars handle bad weather?
The sources reviewed for this article do not establish a general conclusion about how automated-driving systems perform in bad weather. Capability depends on the particular system and its operating conditions; check the vehicle maker’s stated limits and keep the human-driver responsibilities in mind.
Is Level 2 driving assistance the same as self-driving?
No. NHTSA says Level 2 systems can assist with steering and acceleration or braking, but the driver must remain fully engaged and responsible.
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