San Diego Self-Driving Car Accident Lawyer | HHJ Trial Attorneys

San Diego
Self-Driving Accident Lawyer

Autonomous vehicles such as Waymo and Tesla have made travel more convenient. But when a self-driving car crashes, determining responsibility can be more complicated than in a traditional vehicle accident. A collision involving an autonomous driving vehicle may raise questions about the human operator, the vehicle manufacturer, the software, the sensors, or the automated driving technology.

Our San Diego self-driving car accident lawyers investigate these factors to determine how the crash happened and who may be legally responsible. Whether your accident occurred on Interstate 5, Interstate 805, State Route 163, or local streets, we can help you understand your legal options and pursue compensation for medical expenses, lost income, pain and suffering, and other losses.

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How Do Self-Driving Car Accidents Differ From Traditional Accidents?

Self-driving car accidents can be more complicated than traditional car accidents because the cause may not be limited to a driver’s actions. In a typical crash, investigators often examine factors such as speeding, distracted driving, or failing to yield, while an autonomous vehicle accident may involve software errors, faulty sensors, mapping problems, or failures in the vehicle’s automated driving system. Investigators need to review vehicle data, system logs, camera footage, software updates, and other technical evidence to understand what went wrong. Liability can also be more complicated because responsibility may potentially involve the driver, vehicle manufacturer, software developer, or another party.

As self-driving technology continues to expand in San Diego, these questions are becoming increasingly relevant. For example, Waymo has expanded its autonomous ride-hailing operations in the San Diego area, putting more self-driving vehicles on local roads and making it important for drivers, passengers, and pedestrians to understand how these crashes can differ from regular car accidents.

California Autonomous Driving Law

California law establishes specific requirements for autonomous vehicles operating on public roads. Under California Vehicle Code § 38750, an autonomous vehicle generally refers to a vehicle equipped with technology that can drive without the active physical control or monitoring of a human operator, including qualifying Level 3, Level 4, and Level 5 automated driving systems.

For autonomous vehicles operating without a human operator physically present, California law now requires additional safety and emergency-response measures. Beginning July 1, 2026, applicable manufacturers must maintain a dedicated emergency response telephone line and equip their vehicles with a two-way voice communication system that allows nearby emergency officials to communicate with a remote human operator.

The law also addresses evidence that may become important after an autonomous vehicle accident. Manufacturers must have a mechanism to capture and store autonomous technology sensor data from at least 30 seconds before a collision when the vehicle is operating in autonomous mode, and preserve the data for three years after the crash. This information may help investigators understand what the vehicle detected and how its automated driving system responded before the collision.

These requirements can make vehicle data, automation status, and communications with remote operators important evidence when investigating a self-driving car accident in San Diego.

Why Choose HHJ Trial Attorneys for Self-Driving Car Accidents?

Self-driving car accidents can involve complex questions about vehicle defects, autonomous driving software, sensor systems, driver conduct, and third-party negligence. Our experience with complex personal injury and product liability claims allows us to investigate these factors and pursue compensation from every responsible party.

What Causes Self-Driving Car Accidents?

A self-driving car accident can happen for many of the same reasons as a regular crash, but automated technology can introduce additional factors. Finding the cause often requires looking at both the human and technological sides of the accident.

Autonomous Driving System Failure

Autonomous vehicle systems are designed to detect surrounding vehicles, pedestrians, cyclists, roadway markings, and other objects and then make driving decisions based on that information. When the system does not respond appropriately to a developing hazard, it can result in a serious autonomous collision.

Software or Sensor Problems

Cameras, radar, lidar, GPS, mapping systems, the vehicle's sensors, and software all contribute to how an autonomous vehicle understands its surroundings. A sensor that fails to identify an object or software that misinterprets information can affect how the vehicle responds. Self-driving cars may also be vulnerable to cyber-attacks and hacking when connected systems or software are compromised. Tesla's Autopilot system, for example, has been involved in multiple fatal accidents, underscoring why software and sensor failures matter.

Human Driver Negligence

Calling a vehicle “self-driving” does not mean a human is always free from responsibility. Even in driverless cars, the level of automation matters. Depending on that level, the person in the driver's seat may still need to monitor the road, stay attentive, and take control when the system instructs them to. If the person was distracted, impaired, speeding, or failed to take control when required, their actions can contribute to the accident.

Poor Vehicle Maintenance

Self-driving technology still relies on a properly functioning vehicle. Brake failures, worn tires, damaged sensors, improperly repaired components, or other maintenance issues can affect the vehicle's ability to operate safely.

Roadway or Infrastructure Problems

Poorly maintained pavement, unclear lane markings, construction zones, malfunctioning traffic signals, inadequate signage, or other roadway conditions can create difficult situations for both human drivers and automated vehicles.

Negligent Third-Party Driver

A motorist who speeds, runs a red light, drives while distracted, follows too closely, or makes an unsafe lane change can collide with an autonomous vehicle just as they could with any other vehicle. In some crashes, third-party motorists or other road users may bear responsibility for the collision.

Common Injuries From Self-Driving Car Accidents

A self-driving car crash can cause serious injuries, even when the vehicle is designed to reduce human error. The sudden impact can place significant force on the body, leading to harm ranging from minor cuts and bruises to bodily injuries such as broken bones, head trauma, and spinal cord injuries. The extent of your injuries can also affect the compensation you may be able to pursue.

Some injuries commonly associated with serious self-driving car accidents include:

What Should You Do After a Self-Driving Car Accident in San Diego?

The first hour after a self-driving car accident can affect the evidence and documentation your claim may depend on later. If you got into a self-driving accident in San Diego, take the following steps to prioritize your safety, preserve information, and avoid actions that could interfere with the evidence.

Who Can Be Held Liable for a Self-Driving Car Accident in San Diego?

Determining liability after a self-driving car accident in San Diego can be more complex than a typical motor vehicle collision. Several parties may share responsibility depending on what caused the crash, how the automated driving system operated, and whether another person or entity contributed to the accident. Identifying all potentially liable parties matters because it helps determine the full extent of compensation available to an injured victim and who bears financial responsibility for those losses.

What Evidence Can Help Prove a Self-Driving Car Accident Claim?

Proving a self-driving car accident claim requires more than crash-scene photographs or statements from the people involved. Because autonomous vehicles rely on cameras, sensors, software, and other technology, evidence showing how the vehicle was operating before and during the collision can be especially important. Depending on the circumstances, useful evidence may include:

  • Vehicle System Logs and Sensor Data: These records can show what the vehicle detected, how the autonomous system responded, and whether it recognized potential hazards before the crash.
  • Event Data Recorder (EDR): An EDR can record details such as speed, braking, acceleration, and other vehicle information immediately before and during the collision.
  • Software Versions, Updates, and Change Logs: These records can identify the software operating at the time of the crash and show whether an update, modification, or known issue may have affected the vehicle.
  • Video Recordings: Dashcam, onboard camera, and surround-view footage can provide visual evidence of the vehicle’s actions, nearby traffic, road conditions, and events leading up to the collision.
  • Witness Statements and Contact Information: Witnesses can provide an independent account of what they saw, including the self-driving vehicle’s actions or other drivers’ actions before the crash.
  • Physical and Environmental Evidence: Photos of vehicle damage, skid marks, debris, lane markings, traffic signals, lighting, weather, and road conditions can help explain how the accident occurred.
  • Maintenance and Calibration Logs: These records can show whether the vehicle’s sensors, cameras, brakes, and other safety systems were properly maintained and calibrated before the crash.
  • Police and Accident Reports: A police report may document the accident scene, statements from those involved, and the responding officer’s initial observations.
  • Medical Records and Bills: Your medical records can document your injuries, while bills can help establish the medical costs resulting from the accident.
  • Vehicle Repair and Damage Records: Repair estimates, inspection reports, and photographs can help establish the extent of property damage and repair costs.

What Types of Damages Are Available for a Self-Driving Car Accident?

When you file a personal injury lawsuit after a self-driving vehicle accident, you may be able to recover economic and non-economic damages. These damages are intended to compensate you for the financial losses, physical injuries, and emotional effects caused by the accident. Depending on your case, damages may include medical treatment, physical therapy, lost income, lost future earnings, vehicle damage, future medical expenses, pain and suffering, emotional distress, loss of enjoyment of life, and loss of consortium.

Economic Damages

Economic damages compensate you for losses you can generally calculate in monetary terms in injury claims. Depending on your injuries and the circumstances of the crash, these may include:

  • Medical treatment: Emergency care, hospital bills, doctor visits, medications, and other accident-related medical expenses.
  • Physical therapy and rehabilitation: Costs of physical therapy, occupational therapy, rehabilitation, and other services needed for recovery.
  • Lost wages: Wages or other income you lost because your injuries prevented you from working.
  • Lost future earnings: If your injuries affect your ability to work or earn the same income in the future, you may be able to seek compensation for those losses.
  • Future medical treatment: The anticipated cost of continued medical care, treatment, rehabilitation, or other necessary services.
  • Vehicle and property damage: The cost to repair or replace your vehicle and other property damaged in the collision.

Non-Economic Damages

Non-economic damages compensate you for the physical and personal effects of your injuries that are more difficult to assign a specific dollar value. These may include:

  • Pain and suffering: Physical pain and discomfort caused by the accident and resulting injuries.
  • Emotional distress: Anxiety, fear, emotional trauma, or other psychological effects resulting from the crash.
  • Loss of enjoyment of life: The impact of your injuries on your ability to participate in hobbies, activities, and everyday experiences you enjoyed before the accident.
  • Disfigurement or loss of a limb: Compensation for the lasting physical and personal effects of severe injuries, including permanent disfigurement or amputation.
  • Loss of consortium: In appropriate cases, compensation for the impact of serious injuries on a spouse’s relationship and companionship.

Punitive Damages

In some self-driving car accident cases, punitive damages, also known as exemplary damages, may be available. These damages are different from compensatory damages because they are intended to punish particularly wrongful conduct and deter similar behavior in the future.

Ordinary negligence generally is not enough to support a punitive damages award. Under California law, punitive damages may be available when the defendant is found to have acted with malice, oppression, or fraud, subject to the applicable legal requirements.

How HHJ Trial Attorneys Build a Strong Self-Driving Car Accident Claim

Dealing with injuries after a self-driving car accident can be challenging, especially when it is unclear whether the driver, vehicle manufacturer, technology company, or another party is responsible. At HHJ Trial Attorneys, we help accident victims understand their rights and decide what to do next. Our San Diego Self-Driving Car Accident personal injury attorneys can assist you with:

  • Reviewing the circumstances surrounding the crash and examining police reports, medical records, vehicle information, and other relevant evidence.
  • Determining which parties may be legally responsible for the accident, including a driver, vehicle manufacturer, software developer, or companies deploying autonomous vehicles on public roads.
  • Gathering and evaluating evidence such as vehicle system logs, sensor data, event data recorder information, video recordings, software updates, and witness statements.
  • Investigating potential defects, system failures, software problems, or other issues involving the self-driving technology.
  • Handling communications and negotiations with insurance companies and other potentially responsible parties when appropriate.
  • Pursuing available compensation and seeking maximum compensation through settlement negotiations or litigation when necessary.
  • Guiding you throughout the legal process and keeping you informed about your legal options.

HHJ Trial Attorneys represents victims of self-driving car accidents throughout San Diego and across California. Call us at (619) 465-8733 or complete our online contact form for a free consultation and free case review.

FAQs

Is It Possible to Prove Fault in a Self-Driving Car Accident?

Yes, you can prove fault in a self-driving car accident, but determining who is responsible can be more complicated than in a traditional car accident. Liability may involve the vehicle manufacturer, software developer, autonomous technology company, vehicle owner, or human operator. These cases often require reviewing technical evidence from autonomous vehicle technology beyond ordinary crash evidence. Evidence such as vehicle system logs, sensor data, camera footage, maintenance records, and witness statements can help determine what caused the crash and who may be legally responsible.

Yes, self-driving car accidents can differ from traditional vehicle crashes because they involve different safety risks, causes, and liability issues. Instead of being caused solely by driver behavior, an accident may involve problems with the vehicle’s sensors, software, automated driving system, or communication between different vehicle components. This makes it more challenging to determine exactly what went wrong and who should be held responsible.

Self-driving cars may improve road safety by reducing accidents caused by human error, but they are not completely risk-free. Autonomous vehicles rely on artificial intelligence, sensors, cameras, and complex software to make driving decisions, and these systems can still experience technical limitations or failures. Before manufacturers deploy autonomous vehicles, they must comply with applicable federal safety requirements and regulations enforced by the California Department of Motor Vehicles. Even with these safeguards, self-driving technology can still contribute to accidents under certain circumstances.

If several parties contributed to your self-driving car accident in San Diego, each may be found responsible for a portion of the crash. California follows a pure comparative negligence rule, which means your compensation can be reduced by your share of fault. For example, if a technology company is found 50% responsible, another driver 30% responsible, and you 20% responsible, your total compensation would generally be reduced by your 20% share.

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