The Digital Epileptic Seizure: A Growing Concern for Automated Driving Systems
The increasing reliance on automated driving systems has led to a growing concern about their reliability and safety. One of the most significant challenges facing these systems is the ability to identify objects on the road, particularly in low-light conditions. Researchers have identified a phenomenon known as a “digital epileptic seizure” that can cause these systems to malfunction.
What is a Digital Epileptic Seizure? A digital epileptic seizure is a type of error that occurs when an automated driving system is unable to process visual data from its sensors. This can happen when the system is exposed to a sudden and intense burst of data, such as a bright light or a sudden change in the environment. The effect is similar to a seizure in the human brain, where the normal functioning of the system is disrupted, leading to a loss of control. ### The Impact on Automated Driving Systems
The digital epileptic seizure can have significant consequences for automated driving systems.
The study was conducted on a simulation model of the vehicle’s computer system, which is not the same as the actual system used in production vehicles.
Understanding the Flaw in Automated Driving Systems
The researchers identified a critical flaw in the way automated driving systems are designed to handle emergency vehicle situations. This flaw could potentially cause vehicles with automated driving systems enabled to “crash near emergency vehicles,” the researchers say.
Emergency vehicles are invisible to Autopilot’s cameras due to design flaws and placement issues.
The Problem with Emergency Vehicle Lighting
The issue at hand is that the emergency flashers on these vehicles are not designed to be visible to Autopilot’s cameras. The cameras are typically designed to detect pedestrians, cars, and other objects, but not the flashing lights of emergency vehicles. This is a problem because emergency vehicles are often placed in areas where they may not be easily visible to human drivers, but Autopilot’s cameras may still detect them. The problem is exacerbated by the fact that the cameras are mounted on the front of the Tesla, which means they are looking directly at the road ahead.
The cameras were mounted on the rearview mirrors of the vehicles, and the researchers used a combination of cameras to capture footage of the rear of the vehicles. The cameras were set to capture footage at a rate of 30 frames per second, and the footage was recorded for a period of 10 seconds.
# The Study’s Objective
The researchers aimed to investigate the effectiveness of emergency flashing lights in reducing the number of rear-end collisions.
The Mysterious Case of the Emergency Light
The National Highway Traffic Safety Administration (NHTSA) has been investigating reports of an unusual phenomenon involving advanced driver assistance systems (ADAS). The agency has found that some ADAS, including Tesla’s Autopilot system, are exhibiting an emergency light effect. This effect, which is not explicitly defined, has raised concerns among researchers and safety experts.
What is the Emergency Light Effect? The emergency light effect refers to a situation where an ADAS, such as Autopilot, displays an emergency light or warning message without any apparent reason or provocation. This can occur when the system is not actively engaged or even when it is not functioning at all. The NHTSA has acknowledged that this issue is present in some advanced driver assistance systems, but the exact cause and implications are still unclear. ### Investigating the Issue
The NHTSA has launched an investigation into the emergency light effect, but the agency is still struggling to understand the root cause of the issue.
The Psychology of False Alarms
False alarms are a common phenomenon in modern life, and the automotive industry is no exception. In fact, false alarms can be particularly problematic for drivers, as they can lead to unnecessary stress, anxiety, and even accidents. So, what drives this behavior, and how can automakers mitigate the effects of false alarms?
The Role of Confirmation Bias
One key factor contributing to false alarms is confirmation bias. This psychological phenomenon occurs when individuals give more weight to information that confirms their pre-existing beliefs or expectations, while ignoring or downplaying contradictory evidence. In the context of automotive technology, confirmation bias can lead drivers to misinterpret sensor data or ignore warnings that don’t align with their expectations. For example, a driver who is accustomed to receiving frequent false warnings about a potential collision may become desensitized to these alerts, leading them to ignore them altogether. Conversely, a driver who is prone to confirmation bias may become overly reliant on a single sensor or system, neglecting the potential for false positives.*
The Impact of False Alarms on Driver Behavior
False alarms can have a significant impact on driver behavior, leading to:
However, the issue persists in the 2022 model year vehicles.
The Background of the Emergency Flasher Issue
The emergency flasher issue has been a persistent problem for several years, affecting various models of vehicles. The problem is not unique to any particular brand or model, but rather a widespread issue that has been reported by numerous owners and experts. The emergency flasher is a critical safety feature that is designed to alert other drivers to the presence of a vehicle in distress, such as a vehicle that has broken down or is involved in an accident. The issue is typically caused by a faulty or malfunctioning emergency flasher switch, which can be triggered by a variety of factors, including water, corrosion, or electrical issues.*
The Investigation and Research
In 2020, a team of researchers from the British Gas University (BGU) and Fujitsu conducted an investigation into the emergency flasher issue.
The Rise of Autonomous Vehicles: A Double-Edged Sword
The development of autonomous vehicles (AVs) has been a topic of interest for several years, with many experts predicting a future where self-driving cars will revolutionize the way we travel. However, a recent paper has shed light on the limitations of AI-based driving systems, raising important questions about their potential impact on society.
The Promise of Autonomous Vehicles
Autonomous vehicles have the potential to improve road safety, reduce traffic congestion, and increase mobility for the elderly and disabled. They can also reduce the number of accidents caused by human error, such as distracted driving or drunk driving.
