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FBI taps Tesla Sentry Mode footage to help catch man behind alleged hate crimes

Credit: CourtListener

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It appears that some members of the Federal Bureau of Investigation (FBI) are now becoming familiar with Tesla’s built-in security features like Sentry Mode, which allows vehicles to record videos from their cameras to actively monitor their surroundings. This was undoubtedly the case in an incident back in December, which involved slashed tires, arson, and what appears to be a racially motivated attack against a church. 

In an affidavit dated April 15, 2021, FBI Special Agent Casey Anderson outlined the events that led to an incident that resulted in the destruction of the Martin Luther King, Jr. Community Presbyterian Church in Springfield, Massachusetts. The suspect behind the incident, 44-year-old Maine resident Dushko Vulchev, is a naturalized United States citizen from Bulgaria. As per the FBI agent’s affidavit, Vulchev had previously run afoul of the law prior to his apparent arson in December, having been convicted of threatening a foreign official in 2015 and a series of offenses such as domestic violence assault in 2017. 

The Martin Luther King, Jr. Community Presbyterian Church in Springfield, Massachusetts before the fires. (Credit: CourtListener)

The Attacks

In December 2020, the MLK Church experienced a series of fires, one of which eventually destroyed the whole building. The first of these fires were reported on December 13, when the fire department was deployed to extinguish a blaze behind the church. On the same day, a vehicle had its tires slashed two miles away from the church. The next day, a BMW about 1.5 miles away from the MLK church and a Tesla parked less than a mile away from the church had their tires slashed. In the case of the Tesla, its owner found that one of the vehicle’s wheels was also missing. 

Another fire behind the Martin Luther King, Jr. Community Presbyterian Church was set on December 15, 2020, at around 6:32 p.m. The Springfield Police Department (SPD) Arson and Bomb Squad investigated the fire and promptly determined that the blaze had been intentionally ignited. Interestingly enough, another fire in the church was reported at 11:03 p.m. that same day. Upon investigation, the SFD reported that the blaze had been “intentionally set to eventually involve the structure” of the church. 

Things essentially calmed down until December 27, when a Dodge Charger had its tires slashed just 400-500 feet away from the MLK Church. At around 5:06 a.m. the next day, the American International College campus police reported a new blaze at the MLK Church. This time, the fire was started just outside the basement side door, where it burned through and up through the church’s main floor. The blaze essentially destroyed the church, and upon investigation, the SPD concluded that the fire was intentional. 

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Photos of the MLK Church during the December 28, 2020 blaze. (Credit: CourtListener)

The Investigation

Investigators working on the case were able to obtain several video footage relevant to the case. In the first tire slashing incident on December 13, footage from the City of Springfield recorded a gray Chevy Cruze pulling up into the same parking lot as the vehicle that was attacked. The car was found to have been registered to the suspect, Vulchev. City video footage captured the suspect crossing the street in the direction of the MLK Community Center later that day. The gray Chevy Cruze was also recorded circling the MLK Church.

Vulchev’s Chevy Cruze was sighted by city video footage once more the next day, when the BMW tire slashing incident transpired. As per the FBI agent’s affidavit, a while male matching Vulchev’s height, gait, and clothing, was spotted approaching the BMW. Later that day, a Tesla became the next victim of the suspect’s tire slashing tendencies. But this time around, the special agent didn’t just have a faraway shot of a man approaching a vehicle. This time around, authorities were able to get a clear shot of Vulchev as he was slashing and stealing the Tesla’s tires and stealing a wheel, thanks to Sentry Mode. Tesla’s built-in cameras even captured the suspect putting the stolen goods inside his trunk. 

Special Agent Casey Anderson related his experience with Teslas and their built-in cameras in his affidavit. “Based on my training and experience and this investigation, I am aware that the Tesla referenced above is equipped with cameras at various points around the body. ATF Special Agent Marc Maurino (“SA Maurino”) and I have reviewed video footage retrieved from the Tesla showing an individual that I can identify as Vulchev, based on my observation of Vulchev during the Vulchev PPD Interview. 

“The video footage from the Tesla shows Vulchev at a close distance crouching near the Tesla and using a tire iron to remove the wheels. Additional Tesla video footage captured Vulchev removing one of the Tesla’s wheels and placing it in the trunk of Vulchev’s car. Vulchev’s face is clearly visible in the video. Vulchev was wearing grey pants and a dark-colored sweatshirt, Adidas three-stripe sneakers, a black hat with two grey stripes, and light-colored work gloves, the agent noted in his affidavit. 

Vulchev and his vehicle were spotted around the MLK Church fires, as well as subsequent tire slashing incidents. 

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The MLK Church after the December 28, 2020 fire. (Credit: CourtListener)

The Arrest

On December 30, 2020, a complaint about a vehicle driving erratically was reported to authorities. When provided with the license plate of the vehicle in question, it was determined that the car was Vulchev’s. Police stopped the suspect’s vehicle on suspicion of erratic driving and possible links to the multiple tire slashing incidents. Since they were aware of the ongoing federal investigation into the fires against MLK Church, local authorities promptly contacted FBI Supervisory Special Agent of the Springfield Resident Agency Matthew Fontaine. 

Special Agent Fontaine arrived at the scene of the stop, and upon initial investigation, the FBI agent noted that the suspect may have been living in his car for some time. The FBI agent spoke with the suspect for about eight minutes outside, and immediately, Fontaine noted that Vulchev was wearing the sneakers that were captured clearly by Tesla’s Sentry Mode. PPD officers initially released the suspect, though he was arrested the day after over his links to the multiple tire slashing incidents and the Martin Luther King, Jr. Community Presbyterian Church fires. 

On January 4, 2021, the FBI and ATF conducted a search of Vulchev’s vehicle, where they found a computer, a hard drive, and several USB storage devices. A search of the computer revealed Vulchev’s shocking racially charged stance against non-white people. This was seen in messages to an ex-girlfriend—who currently has a lifetime protective order against Vulchev—which featured numerous slurs against Muslims and blacks. Vulchev’s apparent hate against non-whites was notable, as seen in a message to his ex-girlfriend where he was complaining about the race of ABC’s The Bachelorette. A search of the suspect’s phone revealed photos of several notable items, such as a firearm, an image of Adolf Hitler in an Adidas tracksuit, and a “White Lives Matter” mural, as well. 

With these in mind, FBI Special Agent Casey Anderson noted that there is probable cause to believe that Vulchev committed damage to religious property, which is in violation of 18 USC §§ 247(c) and (d)(3), and the use of fire to commit a federal felony, which is in violation of USC § 844(h)(1). As per a press release from the US Department of Justice, Vulchev is currently in state custody and is due to make an initial appearance in federal court in Springfield at a later date. 

FBI Special Agent Casey Anderson’s complete affidavit could be accessed below. 

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gov.uscourts.mad.233009.2.1_1 by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

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The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

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Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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