Matrickz TechTalk episode 61:

„Autonomous Vehicle System Sensors (2020)“

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.

Miss-detection would lead to a lack of availability, and false detection would lead to overuse of the cleaning system, which might become unavailable when really needed.

In this video, 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.

Dr. Hasan Ibne Akram and Tom Jellicoe
Matrickz TechTalk episode 60:

„Autonomous Traffic Management (2020)“

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.

Watch 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.

So what do you think?

Dr. Hasan Ibne Akram and Tal Kreisler
Matrickz TechTalk episode 59:

„Car Hacking in Practice (2020)“

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.

Watch the video until the end!

Dr. Hasan Ibne Akram and Matrickz Team
Matrickz TechTalk episode 58:

„Human Behavior Prediction for Autonomous Vehicle (2020)“

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 camera 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.

Watch 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.

Dr. Hasan Ibne Akram and Leslie Nooteboom