Driverless Truck & Car Accidents

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Rising Danger of Driverless Vehicles – The Silent Killer

Camión petrolero a gran velocidad en carreteras estrechas y peligrosas del oeste de Texas.As driverless technology rapidly expands across America’s highways, serious legal questions arise when these autonomous vehicles cause accidents. Whether it’s a fully self-driving truck hauling freight across state lines or a semi-autonomous passenger vehicle navigating city streets, crashes involving driverless vehicles have already led to serious injuries and fatalities.

Unlike traditional car accidents where a negligent human driver is clearly responsible, autonomous vehicle accidents introduce complex liability issues involving manufacturers, software developers, fleet operators, and more. Victims injured by driverless trucks or cars deserve to know who can be held accountable — and how to protect their rights after an injury.

A Fear Hollywood Imagined 50 Years Ago

Hollywood actually foreshadowed these fears over 50 years ago. In 1971, director Steven Spielberg released the made-for-TV thriller “Duel,” written by Richard Matheson and starring Dennis Weaver. The film follows a lone motorist played by Weaver pursued relentlessly by a mysterious, driverless-looking semi-truck across remote highways. The faceless, towering truck becomes a terrifying force — stalking, taunting, and endangering its human prey without warning or logic. At the time, Duel was pure fiction — a psychological metaphor for helplessness against unstoppable mechanical forces.

Yet today, science fiction has crept disturbingly close to reality. Who would have imagined that real 40-ton autonomous trucks, governed entirely by sensors and artificial intelligence, would soon share the road with human drivers — making critical life-and-death decisions without any human hands or moral judgment involved?

The Growing Reality of Self-Driving Trucks and Cars

Self-driving technology is no longer theoretical. Large companies are actively deploying driverless or semi-autonomous trucks on public highways, including:

While these companies tout safety advancements, numerous fatal crashes, near-misses, and federal investigations have highlighted the serious gaps in autonomous vehicle safety. Unlike experienced truck drivers who react to changing conditions, driverless vehicles rely entirely on complex sensors, artificial intelligence, and pre-programmed algorithms — systems that often fail in unpredictable real-world scenarios.

Who Is Liable When a Driverless Vehicle Crashes?

driverless truck accident lawsuit

When an autonomous vehicle causes an injury, determining who is legally responsible requires far more than a routine accident investigation. Traditional crashes typically focus on human driver negligence, but driverless vehicle accidents involve layers of technology, software algorithms, artificial intelligence, and corporate decision-making that add significant complexity. In these cases, liability may extend beyond the vehicle itself to include the companies that designed, programmed, tested, operated, or maintained the autonomous systems. Victims injured in these crashes often face complicated legal hurdles when trying to understand how to file a personal injury lawsuit after a driverless vehicle accident.

Every component of the self-driving technology — from sensors and cameras to navigation software and emergency override systems — plays a role in accident prevention or failure. What may appear to be a simple system malfunction on the surface could actually involve design defects, insufficient machine learning data, or failures in supervision and monitoring. As driverless vehicles continue to expand onto public roads, determining fault often requires a multi-party investigation reaching into corporate boardrooms, engineering teams, software developers, fleet operators, equipment suppliers, and even government entities responsible for roadway oversight. In a product liability and negligence lawsuit involving injuries from a driverless vehicle accident, often multiple parties may share liability, including:

1. The Vehicle Manufacturer

The company that designed, manufactured, or sold the driverless vehicle may be directly responsible under product liability law if a defect in the vehicle caused or contributed to the accident. Common product defects in autonomous vehicles include:

  • Faulty sensors (LIDAR, radar, cameras)
  • Software glitches or programming errors
  • Braking or steering system failures
  • Defective collision-avoidance algorithms
  • Inadequate driver monitoring systems


Real-world examples include:

  • The 2018 Uber autonomous vehicle that fatally struck a pedestrian in Tempe, Arizona after misclassifying her presence.
  • Multiple Tesla crashes involving Autopilot systems failing to recognize stationary emergency vehicles, stopped trailers, or merging traffic.


These incidents show that even cutting-edge technology remains prone to deadly failures — and manufacturers may be held accountable.

2. The Software Developer or Technology Provider

Autonomous driving depends heavily on advanced software controlling every function of the vehicle. If coding errors, AI blind spots, or gaps in machine learning data cause the system to misinterpret hazards, victims may pursue claims against the software developers who designed the vehicle’s driving systems.

With driverless vehicles, the software is the driver. If the code fails, victims may hold software developers accountable for dangerous programming errors.

3. The Trucking Company or Fleet Operator

When self-driving trucks are operated by freight companies or commercial carriers, these businesses still bear legal responsibility for ensuring their vehicles operate safely. Trucking companies may be liable if they:

  • Failed to properly maintain autonomous trucks
  • Failed to monitor system updates or software patches
  • Deployed unsafe technology prematurely
  • Ignored safety warnings about AV system limitations
  • Failed to implement proper emergency override systems


Even if no human driver is behind the wheel, the company deploying the vehicle remains responsible for protecting the public.

4. Remote Operators and Supervisors

Some “autonomous” systems still rely on human supervisors who monitor multiple vehicles remotely. If a remote operator failed to intervene appropriately during an emergency — for example, by not activating a remote stop when sensors malfunctioned — that operator and their employer may share liability for the crash.

5. Roadway Contractors and Government Entities

In some cases, hazards on the road itself may confuse even the most advanced driverless systems. Potential additional defendants may include:

  • Highway construction contractors who leave debris or unclear lane markings
  • State or municipal agencies responsible for road maintenance
  • Third-party providers of traffic signals or lane guidance infrastructure


The more complex the road environment, the greater the chance that multiple parties may share blame for an autonomous vehicle accident.

6. Other Drivers Who Contribute to the Crash

In mixed traffic, human drivers may still cause or contribute to accidents involving driverless vehicles. If a reckless driver cuts off a self-driving truck and causes a chain reaction, that person may still face legal responsibility. However, autonomous vehicles must be programmed to handle many foreseeable situations involving other drivers’ mistakes

The Legal Complexity of Self-Driving Vehicle Injury Lawsuits

Autonomous vehicle injury lawsuits often involve multiple overlapping legal theories, including:

  • Negligence
  • Strict product liability
  • Product liability design defect claims
  • Software failure
  • Machine learning dataset defects
  • Cybersecurity failures


These cases require sophisticated investigations, expert witnesses, and access to proprietary system logs from the vehicle manufacturer. Because these cases involve emerging technology, having an experienced legal team of trial lawyers with over 40 years of complex product liability experience is critical to fully identify every responsible party and hold them accountable.

Real-World Defects Already Causing Deadly Self-Driving Accidents

Failure to Detect Pedestrians:

  • Uber’s fatal 2018 crash (Tempe, AZ): The system failed to recognize a pedestrian crossing the road.
  • Tesla FSD failures (Austin, TX, 2025): Tests showed failures to detect child-sized dummies in crosswalks.

Failure to Recognize Stationary Vehicles:

  • Multiple Tesla Autopilot crashes into parked firetrucks and police vehicles.
  • Cruise AV pedestrian dragging incident (San Francisco, 2023): The robotaxi struck and dragged a pedestrian after failing to “remember” the collision.

Dangerous Under-Ride Scenarios:

  • Tesla underride fatalities where vehicles drove under crossing semi-trailers.

Overreliance on Inattention Safeguards:

  • Walter Huang (2018): Tesla driver on Autopilot struck a highway barrier while playing a video game.
  • Jovani Maldonado (2019): Tesla failed to brake before rear-ending a pickup, killing a teenage passenger.

These cases highlight how even today’s advanced autonomous systems remain vulnerable to catastrophic failures.

The Cybersecurity Threat of Autonomous Trucks

Because driverless trucks rely heavily on constant software, GPS, and wireless communications, they may become targets for hackers who could:

  • Disable braking systems
  • Remotely control steering
  • Hijack vehicles transporting hazardous materials
  • Create mass traffic chaos or targeted attacks


Cybersecurity experts have warned that driverless trucks could become moving weapons if compromised — adding entirely new layers of risk.

Violations of Federal Trucking Safety Rules

DRIVERLESS TRUCK ON HIGHWAYDriverless trucks may violate the Federal Motor Carrier Safety Regulations (FMCSR), as it stated clearly in the regulations, truck drivers are required to take immediate safety measures after a breakdown or crash to protect other motorists. This includes activating hazard lights, placing reflective warning triangles, and deploying flares at regulated distances to alert oncoming traffic — often on highways with limited visibility, dangerous curves, or high-speed zones. These simple but critical actions save lives by giving approaching drivers advanced warning of a stopped vehicle ahead. With no human, the absence of any emergency warnings may cause deadly secondary accidents, rear-end collisions with a stranded truck and other accidents that flares, signaling or reflectors may have prevented.

An autonomous truck cannot exit the cab to set up these safety devices. If a self-driving truck suffers a mechanical failure, tire blowout, or collision and becomes disabled on the side of the road — particularly at night, in fog, or on rural stretches of highway — it simply sits there, relying only on static hazard lights. Without a human present to place warning triangles or flares further down the road, an already dangerous situation can quickly become lethal as unsuspecting drivers approach at highway speeds with no advanced notice of the obstruction ahead.

But the danger goes far beyond failing to place warning devices. In many roadside emergencies, human truck drivers have historically served as the first line of defense to protect others. A professional driver might:

  • Assist an injured motorist trapped in a disabled vehicle.
  • Pull accident victims to safety after a rollover or fiery crash.
  • Render basic first aid while waiting for emergency responders.
  • Alert authorities when spotting erratic drivers or vehicles stalled dangerously in the roadway.
  • Protect young children wandering near roadways after accidents.
  • Help rescue victims of an abductions, kidnappings or human trafficking.


Autonomous trucks are completely incapable of taking any of these life-saving actions. They cannot assess unfolding emergencies, physically assist the injured, or make judgment calls when every second counts. If a small child is stranded on the shoulder after a crash, an experienced truck driver might stop, activate emergency flashers, and block traffic to protect that child until help arrives. A driverless truck would simply detect an “object” ahead and either continue driving or attempt to reroute, without any awareness of the human danger involved.

Worse yet, consider situations where human intervention has stopped crimes in progress — such as child abductions, assaults, or violent domestic incidents occurring on or near highways. Truck drivers have historically played a critical role in calling for help, physically intervening, or providing eyewitness information to law enforcement. An autonomous truck, with no human onboard, offers no such protection to vulnerable victims in distress.

When lawmakers crafted FMCSA safety regulations, they assumed — correctly — that humans bring not only technical compliance, but also judgment, compassion, and quick thinking in emergency situations. Autonomous vehicles strip away that layer of human responsibility entirely. By eliminating the driver, these machines remove a vital safety net that protects motorists, pedestrians, and communities in ways no software system can replicate.

In short, every mile driven by a fully autonomous truck increases not just technical risk but also removes one more set of trained eyes — and willing hands — from American highways. In a crisis, that absence could be the difference between life and death.

Speak to an Experienced Truck Accident Attorney Today

When you’ve been injured in a driverless truck or car accident, experience matters. Attorney David P. Willis brings over 40 years of personal injury trial experience, is Board Certified in Personal Injury Trial Law by the Texas Board of Legal Specialization since 1988, and was formerly honored to serve as an attorney for the Supreme Court of Texas. Our firm has recovered hundreds of millions for victims and families across Texas and the United States.

Every case is handled on a contingency fee basis — you pay no legal fees unless we win compensation for you. Call 1-888-LAW-2040 for a free, confidential consultation available 24/7.

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