Autonomous Vehicle Safety & Security

Today, it's all about LiDAR technology! What is LIDAR? LIDAR is the acronym of the term Light Detection And Ranging. LiDAR technology is based on bouncing a spot of light off an object, measuring the time of flight.

And I got the opportunity to talk with Aditya Srinivasan from Innoviz Technologies, we talk about LiDAR technology for autonomous vehicles, Elon Musk's radical viewpoint on LiDAR, Tesla's paradigm about cameras and radars can improve to the extent that you will not need a third sensing modality and many more!

How LIDAR Works?

Most of the LIDAR system works on the time of flight principle, where laser in pulsed form is targeted onto the object and the reflected or the scattered pulse is measured using the detector. By measuring the time difference between the transmitted and reflected pulse, the distance between the objects can be calculated.

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#Lidar #radarsensor #radars #technology #technologies #sensor #sensors #sensortechnology #autonomousvehicles #autonomousvehicle

- Why is radar needed in a self-driving car? Camera vs. Lidar vs. Radar 

- The differences between automotive Radar and Lidar.

- Vision of the future of automotive radar.

We're going to talk about radar technologies. The combination of a camera and the high-performance radar is really something that covers all of the cases, in the automotive industry, we call it sensor fusion.

And today we have an amazing guest, Noam Arkind, the CTO & Co-Founder of Arbe who decided to revolutionize radar technology!

https://www.lordsofcarhackers.com/webinar

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Functional safety is gaining importance across different industries. The new standard #ISO26262 together with product liability enforce a professional implementation of #FunctionalSafety.

Today we're back with another very interesting topic, #SafetyAnalysis. We often get a lot of questions like, why is safety analysis important? What is the purpose of safety analysis? What is the unreasonable risk? And so on.

That's why we invite two of our beloved colleagues, Praveen Suvarna and Phalgun Upadhyaya to answer your questions.

In this video, we will explain what Safety Analysis methods we use frequently, 2 ways to conduct a safety analysis, inductive safety analysis, deductive safety analysis, 4 steps in FMEA (Failure Mode and Effects Analysis), and 4 steps in FTA (Fault Tree Analysis).

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#autonomousvehicles #autonomousvehicle #autonomousvehiclesafety #autonomoussafety #automotiveindustry #automotive #automotivesafety #automotivecybersecurity #FuSa #selfdrivingcars #roadsafety #iso21434 #vehicles #carsafety #autosar #automotivesecurity #functionaltesting

Guess who's back in Matrickz Tech Talk today? The legendary functional safety expert Hans-Leo Ross!

Anyone who's looking for amazing literature that really comprehensive about ISO 26262 - Functional Safety in Automotive would know about Hans-Leo Ross's books.

📕 Funktionale Sicherheit im Automobil

📕 Functional Safety for Road Vehicles

📕 Safety for Future Transport and mobility

We have 16 years of history when it comes to ISO 26262, especially in the past decade, the automotive industry has gone through massive changes.

One we talked a great deal about is the electrification of vehicles, we will have autonomous vehicles, and we will have connected vehicles.

All these technologies will change the landscape forever!

Is ISO 26262 - the functional safety standard is the right answer for all these?

What do we need in order to adapt to the upcoming disruptions in the industry?

In this episode, Leo showed us the birth certificate of ISO 26262 and we talked about autonomous safety, the future of mobility, the safety aspect of transportation, and many more!

FREE WEBINAR - ISO/SAE 21434 - AUTOMOTIVE CYBERSECURITY

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#AutonomousSafety #AutomotiveSafety #FunctionalSafety #ISO26262 #ISO21434 #AutonomousVehicles #AutonomousVehicle #FunktionaleSicherheit #RoadVehicle #ConnectedVehicles

We have heard requirements like we need ten trillion miles of data, billions of situations that we have to cover before deploying autonomous vehicles in the street. We are gonna need an enormous amount of testing.

Besides that, we want to test the corner cases, edge cases and that's not ethical to try out with the human driver, and we are also risking the entire environment.

In terms of edge cases, it is not even possible to replicate that without putting people's lives in danger.

So the only way we can handle those is by simulating.

In this episode, Our CEO Dr. Hasan Ibne Akram, and Roy Fridman, VP Business Development & Sales of Foretellix Ltd will talk more about Testing Scenarios of Autonomous Vehicles.

👉 link to M-SDL:

FREE WEBINAR - ISO/SAE 21434 - AUTOMOTIVE CYBERSECURITY

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The main challenge in the autonomous vehicle industry is that we try to replace the human driver with the machine or software. Many technologies have been created to help us make this happen, one of them is the system sensor.

Sensors such as LiDar, Radar, cameras have a very important role, which is to function as the eye of an autonomous vehicle. Much like human drivers, autonomous vehicles rely on optical sensors to understand their environment and identify hazards.

One such challenge is when a sensor’s view of the world becomes obscured by water or dirt. This seems to be a very challenging task for LiDARs which need to differentiate between a real object beyond the LiDAR, and elements that are right on the LiDAR window.

In this episode, Our CEO Dr. Hasan Ibne Akram, and Tom Jellicoe, Consultant - Sensors & Devices at TTP plc will talk more about the sensor system, LiDAR, sensor cleaning technology, the safety aspect of it, etc.

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Did you know that 40% of the fatalities on the road are happening in the junction? Imagine if we have technology that can help us to reduce that number.

In this episode, you will learn about autonomous traffic management, the human acceptance of that technology, how much of a change the traffic user and the drivers have to go through in order to accept the technology.

Listen to the stimulating discussions between our CEO, Dr. Hasan Ibne Akram, and Tal Kreisler, the Co-Founder & CEO of NoTraffic, the world's first autonomous traffic management platform that solving today's traffic challenges.

FREE WEBINAR - ISO/SAE 21434 - AUTOMOTIVE CYBERSECURITY

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#AutonomousTrafficManagement #AutonomousTraffic #TrafficManagement #TrafficControl #ConnectedTrafficManagement #ConnectedTraffic #AutonomousVehicles #AutomotiveIndustry #ConnectedVehicle #AutomotiveSafety #SelfDrivingCars #AutonomousVehicle

In the traditional IT industry, about 80% of the vulnerabilities and the attacks that we have seen are socially engineered. 

Anybody can inject the malware into your vehicle and take control of your vehicle theoretically.

There are several possibilities whenever you want to access the vehicle. One is physical access to the vehicle through the OBD2 port and number two is remote access.

The holy grail of car hacking is to get to the CAN bus of the vehicle which is the actual network of the car where you control everything.

In this video, Our CEO Dr. Hasan Ibne Akram, and the Matrickz team are going to show a setting that we will have remote access to the vehicle, and then we will inject the malware that is allowing you to communicate with the vehicle and in our case, we have simulated the malware using the Raspberry Pi, connected to the OBD2 port so that you can access the CAN bus.

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The technology around us is influencing how people behave and react socially with each other, like the mobile phone, computer, internet, camera, autonomous vehicle, and etc.

As technology continues to evolve, we will be able to use that to predict human behavior through cameras or other sensors and implement those in autonomous vehicles in order to make the vehicle safe and secure.

The "human behavior prediction" technology will not only protect the driver or the passengers inside the vehicle, but also the pedestrians and other road users.

Of course, it's a big challenge for the automotive industry and for the OEMs to implement that in the vehicle because whenever a human is driving, the human is perfectly capable of making a good prediction about what's gonna happen with the pedestrian while we still don't know the capabilities of this technology when applied in autonomous vehicles.

Listen to the stimulating discussions between our CEO, Dr. Hasan Ibne Akram, and Leslie Nooteboom, Co-founder & Chief Product Officer of Humanising Autonomy about human behavior prediction for the autonomous vehicle.

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#HumanBehavior #HumanBehaviorPrediction #AutonomousVehicles #AutonomousVehicle #humanbehavior #humanbehaviorprediction #autonomousvehicles #selfdrivingcars #ISO21434 #autonomousvehicle #autonomousdriving #automateddriving #automatedmachinelearning

There are 3 technologies that gonna change the industry once and for all, Autonomous vehicles, Connected Vehicles, and Electrification of vehicles.

And when we talk about autonomous vehicles, the pace of the automotive industry is somewhat slow compared to others in the last 20 years. But in the last decade, we have seen a little bit of the catalytic effect in this industry and Autonomous Vehicle is definitely moving the automotive industry faster. 

There will be a good chance that the idea of owning a vehicle will be obsolete. In the future, people will use their vehicles like an app to move from point A to point B, be it the autonomous vehicle or a drone. Not only that, the safety mechanism and the lifespan of these vehicles will not be 20 years anymore. Because of these changes, there will be new safety challenges in the autonomous vehicles sphere.

Listen to the stimulating discussions between our CEO, Dr. Hasan Ibne Akram, and John Maddox, the senior director - autonomous safety and compliance at Lyft.

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#autonomous #vehicle #safety #automotive #ISO21434 #autonomousvehicles #automotiveindustry #automotivesecurity #cybersecurity #OEMs #autonomoussafety #autonomousvehiclesafety #autonomousvehicle #SOTIF #AUTOSAR