Month: January 2022

The Technology Behind Autonomous Driving

Innovations in car technology have not ceased. That’s why car dealers like cars Scottsdale are enthusiastic to promote new car models every year. It is the new technology behind every new car that makes people want to see more.

The current development shows in which direction mobility could go in the future: autonomous driving should be safer, improve road use and traffic efficiency and reduce emissions. With autonomous vehicles, an Uber-like taxi service is possible and cities also benefit towards a more sustainable urban life.

Autonomous driving is no longer an idea

Autonomous driving is no longer an idea: In some countries, autonomous vehicles are driving. Cars use network services in many ways. Modern telematics is finding their way into more and more vehicles, highly developed driver assistance systems and online functions (V2X = Vehicle-to-Everything) are almost a reality.

Different sensor types combined = sensor fusion

Modern vehicles can hardly do without sensors and the sensors are becoming smaller, lighter, and cheaper. Installed in assistance systems, they make driving safer, both for the driver and for other road users. As they become more widespread, they will become cheaper, which means that they can be installed in more and more vehicles.

The ultrasonic technology in vehicles is already mature and the corresponding sensors are inexpensive and easy to use. Due to the propagation characteristics of sound, ultrasonic sensors only work over short distances and at low speeds, for example in parking assistants or to detect blind spots.

Since radar sensors have been installed within in-vehicle technology, they have become an important part of driver assistance systems. They can detect stationary and moving objects at short, medium, and long distances and provide important information such as distance, angle, and speed. Unlike optical sensors such as LiDAR and cameras, radar sensors are significantly less affected by weather and lighting conditions. Due to this immunity to interference, they are often used in safety-relevant applications such as adaptive cruise control, collision avoidance systems, and emergency brake assistants.

Radar systems in vehicles for short distances are currently operated in two frequency bands: in the K-band at 24 GHz and in the W-band at 79 GHz. However, the use of the lower frequency range in the K-band in Europe for new vehicles will be phased out from 2022 to protect other users of the 24 GHz band from interference. The move to the higher frequency not only relieves the lower frequency band of mutual interference but also offers a number of other benefits. The higher frequency allows for smaller sensors, better spatial resolution, and wider operating bandwidths.

Read also: Digitization and Technology in DB Transport

Laser and infrared sensors in the vehicle

Optical systems continue to evolve towards smaller cameras with higher resolutions and towards stereoscopic cameras. They are used wherever radar sensors cannot detect or classify objects. Camera sensors are relatively inexpensive but require a lot of computing power. They deliver good images when the weather and lighting conditions are favorable, but the image quality is often inadequate when the weather and lighting conditions are unfavorable.

The use of laser (LiDAR) and infrared sensors in vehicles is currently being discussed. Their disadvantage is that they are still relatively expensive, which is why both techniques are still used relatively little. LiDAR sensors deliver high-resolution 3D images that are essential for autonomous driving.

Unfortunately, like cameras, they are quite sensitive to weather conditions. Infrared sensors, on the other hand, deliver good images even at night. For widespread use of in-vehicle technology, however, these two technologies still have to drop significantly in price.

The Importance of VR in Learning: How Kids Can Learn From Using Virtual Reality?

Virtual reality has been used for a long time now to create immersive learning experiences. Virtual reality can be used in the classroom, to help with discipline, focus and concen

tration. It is also a creative and fun way for kids to learn. Here are some ways that VR can be used in the classroom and at home.

When can you use VR in the classroom?

Virtual reality can be used in the classroom to help with discipline and focus. The immersion that VR offers can help kids stay on task, which could be helpful for distracting classrooms.

Virtual reality can also be used in a creative way as well. It makes it easier for kids to learn about different parts of the world and allows them to explore whether they are interested in history or geography. Kids will love exploring new places through virtual reality because it’s exciting, interactive, and fun!

Virtual reality is also a great tool for homeschooling if you have older kids who would like to learn more about different cultures from around the world. If your child is interested in history or geography, then you might consider doing some virtual reality lessons as a homeschooling activity.

How does VR help Children Learn?

One of the ways VR can help children learn is by giving them a break from the monotony of learning. It can be used to give children a chance to explore their learning in new ways. In fact, there are some shows on IPTV as well that is compatible with VR, which can bring new knowledge to children as they watch it.

Some teachers have found that kids have learned more when they are immersed in virtual reality than when they are just sitting and listening.

Another way that VR can help kids learn is by helping them pay attention more effectively. For example, it is said that 80 percent of our brain power is devoted to focusing on tasks at hand, but when we’re in VR, our brain power goes to exploring new environments which are not distractions from what we’re supposed to be doing.

3 Reasons Why a Scientific Approach is Required in Recruitment

Job Interview

 

Whenever a top recruiting firm is hiring prospective employees, they are basically trying to predict what performance a candidate will show within the future. You will make a guess, or associate with your gut feeling. But you will also support your choices by using structured methods.

Choosing what methods and elements to incorporate and what to depart out is what setting up a recruitment process means. In line with that, for scientifically proven selection methods instead of just counting on gut feeling, here are my top 3 reasons for going:

1. Methods are fair – gut feelings are not

When you use a technique, every candidate is going to be valued on identical criteria. Scientifically objective ways of measuring a candidate make it easier to avoid bias supported by people’s age, gender, ethnicity, etc. Tests put the main target on actual contribution and performance rather than who the person is. Measuring all candidates within the same process can sometimes be difficult. But you have got earned yourself a more fair and relevant selection process if you manage to.

 

ALSO READ: 7 Technological Advancements in the Dental Industry Today

 

2. Knowing what you actually want will make it easier to seek out

Adding psychometrics to the method will often cause great discussions around what’s really important for a selected position. This early time investment usually contains a great return in terms of total time spent on the recruitment. And if you are hiring for several roles with identical skill sets, that saved time just multiplies.

3. Standardization is scaleable

Spending time developing things that do not scale may be a luxury most companies just cannot afford. Recruiters must be cost-effective. Time and energy should be spent where the foremost value is captured.

Some methods have higher prognostic validity than others. Whatever you decide on, ensure your choices are deliberate and support the science of psychometrics.