Tesla released version 10.3 of its Full Self-Driving software Monday morning, after Elon Musk, CEO, pulled it over the weekend due to issues.

The system improves the detection and speed of turn signals, creeping speeds, and other features. It was initially introduced by the electric carmaker on Saturday evening.

Musk however tweeted on Sunday morning, that the update was flawed and that vehicles would be restored to version 10.2 temporarily.

‘Please note, this is to be expected with beta software. It is impossible to test all hardware configs in all conditions with internal QA, hence public beta,’ the CEO tweeted.

Twitter has also been filled with complaints from Tesla owners. Many cited issues with the braking functions and fake front-collision warnings.

It appears Tesla has now rectified the issue, as Musk tweeted ’10.3.1 rolling out now’ at 6:02am ET on Monday.

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Tesla rolled out version 10.3 of its Full Self-Driving (FSD) software Saturday evening that improves the ability to detect turn signals, creeping speed and other features, but hours after the launch, Elon Musk announced it had been rolled back

Tesla launched version 10.3 (Full Self-Driving) software Saturday evening. It improves the detection of turn signals, creeping speed, and other features. Elon Musk announced hours later that it had been rolled-back

Tesla’s FSD is available to drivers with high safety scores of 100 out of 100.

Drivers gave permission to the firm to monitor their driving via in-car software. The scores will be ranked for each 100-mile driving.

Although the technology is optional, it includes several autonomous driving features but still requires supervision from the driver.

Musk pointed out issues on Saturday night shortly after the rollout, specifically problems with ‘left turns at traffic lights.’

However, it appears Tesla rectified, as Musk tweeted ’10.3.1 rolling out now’ at 6:02am ET on Monday

However, it appears Tesla rectified, as Musk tweeted ’10.3.1 rolling out now’ at 6:02am ET on Monday

Elon Musk (pictured) shared all the updates about the software launch, roll back and re-launch on Twitter

Elon Musk (pictured), shared all updates about the software launch and rollback on Twitter 

Tesla owners discovered other safety issues that also affected their safety scores.

One owner tweeted: ‘@elonmusk is it a known issue in FSD Beta 10.3 to have false collision warnings? It was my first day off AP and I received two [consecutive]Warnings: Car was 25 yards away, traveling at the same speed. Was [swerving]But. Dropped my score to 98 :(’ 

Other drivers also saw points drop, although it is not clear if they still qualify for version10.3.

Along with the aforementioned issues, some Tesla owners reported the roll back disabled the FSD software entirely – resetting it to non-FSDBeta production.

Several issues from Tesla owners also surfaced on Twitter, with many citing problems with braking functions and fake front collision warnings

Twitter has also been filled with complaints from Tesla owners. Many cited issues with braking functions, and fake front collision warnings.

One Twitter user said the fake front collision warnings caused him to fishtail while driving

One Twitter user stated that the fake front collision warnings caused his to fishtail while driving

Some users were experiencing problems with brake functions when the updated rolled out

Some users had problems with their brake functions after the update was released.

Tesla released its FSD system as limited beta software to select US drivers in October 2020, which sparked controversy among industry experts who claimed the term ‘Full-Self Driving’ is misleading and puts motorists at risk.

Steven Shladover is a researcher engineer at the University of California Berkeley who has been studying autonomous driving for 40+ years. He said in a statement that this was actively misleading people about its capabilities based on what I have seen.

However, users were pleased with the technology once issues were fixed and the updated rolled out again

Users were however happy with the technology, once the issues were fixed and the updated was rolled out again

“It has very limited functionality and requires constant driver supervision.”

In September of this year, the National Transportation Safety Board ​(NTSB) also called the software ‘misleading and irresponsible,’ The Wall Street Journal reported.

NTSB head Jennifer Homendy, who pushed for a delay in the FSD beta software, said: ‘Basic safety issues have to be addressed before they’re then expanding it to other city streets and other areas.

‘It has clearly misled numerous people to misuse and abuse technology.


Self-driving cars often combine normal two-dimensional cameras with depth-sensing LiDAR (light-sensing radar) units to see the world around them.

Others use visible light cameras to capture images of streets and roads. 

They are equipped with a wealth and vast database of information, which includes hundreds of thousands clips. Artificial intelligence is used to identify people, signs, and hazards.   

Waymo uses LiDAR (light detection & ranging) scanning, where one or more lasers emit short pulses that bounce back when they hit obstacles.

These sensors act as the ‘eyes of the car’ and constantly scan the surrounding area looking for information.

The units provide depth information but are not able to detect small objects.

Apple unveiled details about its driverless car system in November 2013. It uses lasers to detect cyclists and pedestrians from a distance.

Apple researchers claimed that they were able spot pedestrians and cyclists using only LiDAR data.

They also stated that their method was superior to other methods of detecting three-dimensional objects, which use only LiDAR.

Other self-driving cars rely on a combination cameras, sensors, and lasers. 

Volvo’s self-driving cars are an example of this. They rely on approximately 28 cameras, sensors, lasers and lasers.

A network of computers processes information which, together with GPS, creates a real-time map that shows the location of all stationary and moving objects in the environment.

Twelve ultrasonic sensors located around the vehicle are used to identify objects near the vehicle and support autonomous driving at low speeds.

Wave radar and a camera mounted on the windscreen can read traffic signs and the road’s curvature. It can also detect objects on the road, such as other road users.

Four radars are located behind the rear and front bumpers to locate objects.

Two long-range radars mounted on the bumper detect fast-moving vehicles approaching from behind. This is useful on motorways.

Four cameras are installed – two on each of the wing mirrors and one on either the grille or rear bumper. They monitor objects close to the vehicle and lane markings.