Perhaps moving the location of the word “Allegedly” in the title (compared to a previous article) makes this a little more clear regarding the reason the use of the word “allegedly” in this news report. There are some sources that would indicate that a rear-end collision caused by an autopilot-enabled Tesla hitting a vehicle in front of is unlikely without extenuating circumstances. We don’t know if there were any extenuating circumstances beyond an alleged sleeping Tesla driver — a condition that Tesla’s are designed to override when a Vision-Based Attention Monitoring system detects a driver is inattentive. The conclusive information to determine in the ongoing investigation is:
1) did the driver falsely state that he was asleep to falsely justify that the blame is on the autopilot mode, or
2) did the autopilot or non-autopilot collision avoidance features inherently fail to prevent the collision, or
3) did extenuating circumstances occur that are not recognized by the autopilot mode — or that overwhelmed the autopilot mode, causing the autopilot mode to fail to avoid the collision?
Teslas are designed to alert a driver that is not attentive in the driver’s seat. If the alerts fail to correct the driver, the system is designed to safely pull the vehicle over to a safe spot on the right shoulder or near the right shoulder, and stop the vehicle. In a suburban driving situation, was there not enough time for the sequence of alerting and automatically taking control of the vehicle to prevent a collision?
Teslas also have collision avoidance features that work even when Autopilot is not active, such as Automatic Emergency Braking (AEB), Forward Collision Warning, and Obstacle-Aware Acceleration, which reduces acceleration when an object is detected in the path of the Tesla. These systems are designed to help reduce the severity of a crash, but are not a substitute for attentive driving and driver intervention.
Ironically, there are sources that say Tesla’s are more likely to be the vehicle that is rear-ended in driving situations because Tesla’s regenerative braking process can decelerate the Tesla up to ten times faster than conventional vehicles that coast when the driver of a conventional vehicle takes the foot off the accelerator. Regenerative braking in a Tesla converts kinetic energy into electricity, which slows the vehicle (ten times faster) when the Tesla driver releases the accelerator. In addition, there is a measurable delay between when regenerative braking begins and when brake lights activate in Tesla vehicles. This delay ranges from 0.35 to 0.59 seconds depending on the model, which can reduce reaction time for following drivers by about 30%, according Pittman Law Firm — a Florida law firm located in Bonita Springs and Fort Myers.
Tesla vehicles also received a correction via a software upgrade recently, after Tesla vehicle systems reportedly falsely detected water mirages on Arizona highways as water on the road surface, and caused the Tesla system to improperly decelerate and/or brake.
[Good information to know if you are driving behind a Tesla.]
In the provided photo by the Village of South Barrington, it appears that a South Barrington Police SUV was rear-ended by a vehicle, and the Village of South Barrington reports that the vehicle (a Tesla) was in autopilot mode, according to the driver of the Tesla.
The Village of South Barrington released information Wednesday, October 22, 2025 that one of their marked police SUVs was damaged in a crash caused by a Tesla in autopilot mode that was occupied by a sleeping motorist. Fortunately, the two South Barrington officers involved as victims in the crash did not sustain serious injuries.
The South Barrington Police Department SUV on Wednesday, October 15, 2025 was struck in the rear-end by a Tesla that was being operated in autopilot mode, according to the Village of Barrington. Presumably, the crash was a typical rear-end condition, because the Village of South Barrington did not indicate that the police SUV was being operated in reverse. Also weather conditions appeared to be sunny and dry, and there was likely no freezing conditions on the roadways.
The Village of South Barrington provided that the driver of the Tesla admitted to falling asleep while the vehicle was on autopilot. The individual was subsequently arrested and charged with several violations by the Barrington Hills Police Department, according to the Village of South Barrington.
Barrington Hills Police Department is investigating the incident. The crash caused moderate to severe damage to the rear-end of the South Barrington Police Department Ford Interceptor SUV.
“The South Barrington Police Department would like to remind all motorists that while the use of vehicle automation systems such as autopilot is not illegal, drivers are still required to remain alert and attentive at all times. Vehicle technology can assist drivers, but it does not replace the need for human attention and judgment behind the wheel.”
— South Barrington Police Department
“Technology continues to evolve and can enhance safety when used properly,” said Deputy Chief Puralewski. “However, it’s important to remember that drivers are still responsible for the safe operation of their vehicles at all times.”
The South Barrington Police Department urges all drivers to stay focused, avoid distractions, and maintain control of their vehicles to help keep our roads safe for everyone.
The location and time of the crash wasn’t provided, and the level of details didn’t include why the Tesla’s Vision-Based Attention Monitoring System failed to prevent the crash. That would likely be too early in the investigation.
Vision-Based Attention Monitoring System
A Tesla detects an inattentive driver using a Vision-Based Attention Monitoring system, which relies on the cabin camera. When using Autopilot or Full Self-Driving (Supervised), this system works in conjunction with steering wheel torque sensors to ensure the driver remains focused and ready to take control.
Key components of the Vision-Based Attention Monitoring System:
Cabin Camera
Located above the rearview mirror in most newer Tesla vehicles, this camera monitors the driver’s head movements and eye gaze. It can detect if the driver is repeatedly looking away from the road, using a handheld device, or showing signs of drowsiness, such as frequent yawning or blinking.
Steering Wheel Torque Sensor
The steering wheel sensor is an older method that requires the driver to apply slight force to the steering wheel at regular intervals. If the system detects a lack of force for too long, it issues a “hands on wheel” reminder.
Driver Drowsiness Warning
A specific alert that triggers if the camera and driving patterns indicate the driver is drowsy. It provides visual and audio warnings to encourage the driver to pull over or become more attentive.
How the Vision-Based Attention Monitoring System responds to inattentiveness
When inattentiveness is detected, the system issues a series of escalating warnings …
Visual and audible alerts prompt the driver to refocus on the road.
Repeatedly ignoring these warnings results in an “Autopilot Strikeout,” and the system is disabled for the remainder of the drive.
Accumulating multiple strikes (the number depends on the car’s configuration) can lead to a suspension of Autopilot and FSD features for an extended period, such as one week.
For newer systems on FSD (Supervised), the cabin camera is the primary method for monitoring driver attention, with the steering wheel nags acting as a fallback if the camera’s view is obstructed.
Occasionally, Tesla updates the Vision-Based Attention Monitoring System, correcting over-reactive responses by the system or under-reactive responses by the system.
