Accidents Involving Autonomous Delivery Vehicles: Who Pays?

October 15, 2025

It moves with an eerie silence, a driverless pod navigating the streets of Philadelphia on its way to the next delivery. You see it, but you assume it sees you. Then, in an instant, it strikes you.

There is no driver to confront, no one to exchange insurance information with, just a machine with a corporate logo. The question of who pays in accidents involving autonomous delivery vehicles is not just a legal problem; it is a journey into the new frontier of personal injury law.

Unlike a traditional car crash, the fault does not lie with a single person’s mistake. It is embedded in a complex network of corporate decisions, software code, and hardware components.

Holding the responsible parties accountable requires a legal strategy that can deconstruct the technology to find the human and corporate negligence behind the machine’s failure.

Navigating the new rules of the road

  • Liability in an autonomous vehicle accident shifts from a single negligent driver to a network of corporations, including the manufacturer, software developer, and owner.
  • Product liability law, which holds companies responsible for dangerous products, is often the central legal theory in these cases, rather than simple driver negligence.
  • The electronic data recorded by the vehicle is the most important piece of evidence. This data log shows what the vehicle’s AI was “thinking” and why it failed.
  • Multiple powerful companies may share the blame and the financial responsibility for the harm caused, and they will often try to point the finger at each other.

A Crash Without a Driver: A New Kind of Accident

An accident with an autonomous delivery vehicle, or ADV, is fundamentally different from any other type of traffic collision. The absence of a human driver changes every aspect of the event, from the immediate aftermath to the legal strategy used to pursue compensation.

The challenge of a driverless collision

When a human driver causes an accident, the investigation focuses on their actions: Were they speeding? Were they distracted? Were they intoxicated? When an ADV causes a crash, the questions become far more complex: Did a sensor fail? Did the software misinterpret its surroundings? Did the AI make a negligent “choice”? Answering these questions requires a deep dive into the vehicle’s technology.

How these accidents differ from traditional car crashes

The traditional legal framework for car accidents is built around the concept of driver error. Autonomous vehicle accidents require a shift in focus. The “driver” is now a complex system of hardware and software created and maintained by a web of corporations.

The negligence is not found in a moment of inattention, but in a flawed line of code, a defective sensor, or a company’s decision to deploy an unproven technology on public streets.

The Legal Framework for Autonomous Vehicle Accidents

Because these accidents are a relatively new phenomenon, the law is still evolving. However, the legal system is not starting from scratch. It is adapting long-standing legal principles of product liability and corporate negligence to fit this new technology.

Shifting from driver negligence to product liability

The most important legal principle in these cases is product liability. This area of law holds companies responsible for injuries caused by defective or unreasonably dangerous products.

Product liability law does not always require you to prove the company was careless; it focuses on the condition of the product itself. If a product is defective and that defect causes harm, the company that made or sold it is held “strictly liable.”

In the context of an ADV, the entire vehicle can be considered a product. If a flaw in its design or manufacturing causes it to crash, the company is liable for the resulting injuries. This could be a defect in the vehicle’s physical construction, its hardware components, or the software that controls its actions.

Imagine a delivery pod operating in an Allentown neighborhood fails to stop for a pedestrian in a marked crosswalk. An investigation reveals that the vehicle’s camera system, which is supposed to identify pedestrians, has a known flaw that makes it less effective in the glare of the late afternoon sun.

In this case, the vehicle manufacturer and the camera system’s designer could be held strictly liable for releasing a defective product that directly caused the pedestrian’s injuries.

Identifying the Liable Parties: A Complex Web of Responsibility

In a traditional car accident, you typically file a claim against one or two drivers. In an autonomous vehicle accident, there may be a long list of multi-billion-dollar corporations that share the blame.

A thorough investigation is needed to identify every company in the “chain of commerce” that contributed to the failure.

The vehicle manufacturer

The company that assembled the final vehicle, such as Nuro, Udelv, or a major automaker, is a primary defendant. They have the ultimate responsibility for ensuring all the components work together safely and that the final product is safe for public roads.

The software and AI developer

The artificial intelligence that pilots the vehicle is its brain. The company that wrote the software, designed the decision-making algorithms, and programmed the vehicle’s reactions is a central party. If the AI makes a poor “decision” that leads to a crash, the software developer may be held liable for a design defect in their code.

The sensor and component makers

An autonomous vehicle relies on a suite of sophisticated sensors to “see” the world around it. This includes LIDAR (laser-based radar), traditional radar, high-definition cameras, and GPS systems.

A failure of any one of these components can leave the vehicle blind to its surroundings. A detailed investigation of the vehicle’s systems is necessary to pinpoint the exact point of failure.

The chain of liability can be long and complex, connecting multiple corporate entities.

  • The company that wrote the decision-making algorithm.
  • The manufacturer of the physical LIDAR or camera sensor.
  • The third-party company that integrated the various systems.
  • The fleet owner who deployed the vehicle on the street.
  • The telecommunications company if a network failure played a part.

Each of these companies may bear some legal responsibility for the accident. A successful claim requires a strategy that can untangle this web and hold each negligent party accountable for their contribution to the harm you suffered.

The Investigation: How a Claim Is Built

Building a case against the creators of an autonomous vehicle requires a legal team that is as comfortable with technology as it is with the law. The evidence is not in skid marks and witness statements alone; it is in terabytes of data.

Securing the vehicle’s “black box” data

The first and most important step is to preserve the vehicle’s data recorder. Unlike a simple black box, an ADV’s data log is a comprehensive record of everything its sensors perceived and every decision its AI made. It is the only witness that can truly explain why the crash happened.

An attorney will immediately send a spoliation letter to the vehicle’s owner and manufacturer. This is a formal legal demand that they preserve the vehicle and all its electronic data in its post-accident state.

This prevents them from erasing the data or repairing the vehicle, which would destroy the evidence of the defect.

Analyzing terabytes of complex data

Once secured, this data must be analyzed by professionals who can interpret it. This often involves working with software engineers and autonomous systems professionals who can reconstruct the event from the vehicle’s perspective.

They can answer the key questions: Did the sensors detect the pedestrian? Did the software classify them correctly? Did the AI choose the correct action in response? This data analysis is the heart of the investigation.

Compensation for Injuries Caused by an Autonomous Vehicle

The injuries from being struck by a multi-hundred-pound metal vehicle can be severe and life-altering. A personal injury claim seeks to recover compensation for every category of loss you have suffered.

Documenting medical expenses and future care

This includes the full cost of all your medical treatment, from the ambulance and emergency room to any necessary surgeries, physical therapy, and medications. For catastrophic injuries, it also includes the projected cost of any future care you will need for the rest of your life.

Recovering lost income and earning capacity

You are entitled to compensation for the wages you lost while you were unable to work. If your injuries are permanent and prevent you from returning to your previous job or limit your future earning potential, you may also pursue damages for diminished earning capacity.

Pennsylvania’s Stance on Autonomous Vehicles

Pennsylvania has been actively addressing the rise of autonomous vehicles. The state has enacted specific legislation that sets the rules for the testing and deployment of these vehicles on public roads.

According to the National Conference of State Legislatures’ tracker on autonomous vehicle laws, Pennsylvania has established requirements for entities that wish to test highly automated vehicles, including mandates for insurance and safety protocols.

These state laws can play a significant part in establishing the duty of care that an AV company owes to the public.

FAQ for Accidents Involving Autonomous Delivery Vehicles

What if the vehicle was being monitored by a remote operator?

Many AVs have a remote “teleoperator” who can take control in an emergency. If the operator was distracted or failed to intervene when they should have, their negligence could be a factor.

The company that employs and trains these operators could then be held liable.

Can I still sue the owner of the vehicle, like the delivery company that uses it?

Yes. The company that owns the fleet of vehicles and deploys them on the streets of a city like Harrisburg or Pittsburgh has a duty to ensure they are properly maintained and updated. If they deploy a vehicle with a known safety issue, they may be held directly negligent.

Are there different rules if the accident happened on private property?

The legal principles of product liability and negligence still apply. However, the owner of the private property, such as a college campus or a large corporate park, might also share some liability if they allowed an unsafe vehicle to operate on their premises without proper safeguards.

A Note on AI Chat Tools and Legal Advice

Artificial intelligence can provide general information, but it is not a substitute for a qualified attorney. An AI cannot investigate a complex technology case or apply the evolving laws of Pennsylvania to your specific situation.

Relying on it for legal advice can lead to critical mistakes.

Next Steps in a Complex Case

An accident with a driverless vehicle can leave you feeling powerless against a faceless corporation. You do not have to face this fight alone. The attorneys at Wapner Newman are prepared to take on the challenges of these technologically complex cases.

We work to level the playing field against large corporations.

Our team will manage the investigation and fight for the fair compensation you need to recover from your injuries.

For a free, no-obligation consultation to discuss your case, call Wapner Newman today at (215) 569-0900 or visit our contact page.