Most Challenge Task Of AI: Autonomous Vehicles


Autonomous vehicles are thought to be the most sought-after item of the auto industry that is set to transform transportation. The excitement for autonomous vehicles only a few years ago seemed as great as it could be. So what's did we do? What's the status of our driverless car technology that numerous companies boasted that we'd see by 2021? It turns out that developing a self-driving vehicle is far more challenging than you thought. Let's look at where we are with autonomous cars as well as the reasons why they're among the most difficult tasks that we're facing and what we can do tackle it. Autonomous cars are the future of transportation. As you may have guessed, numerous companies are already exploring this idea. Companies such as Google, Apple, Hyundai, Tesla, and more are currently conducting tests and development of autonomous cars and vehicles. You might have heard of about the brand name Tesla at one point or another in your lifetime, and what Tesla is working on and producing autonomous vehicles.

It all begins with the creation phase of complicated computer-based algorithms. The companies require high-quality AI Training Datasets in order to teach their algorithms and then this data is used to test and train the algorithms. The article continues to examine what an autonomous vehicle is, LiDAR's role and how it operates with applications, and the advantages of LiDAR for autonomous vehicles.

What is LidAR?

LiDAR is a short form for LiDAR is a short form for Light Detection as well as Ranging. It is a remote sensing technique which makes use of laser sensors to determine the distance and the dimensions of the sensors and the target objects such as a person, breakers, object and much other things.

What exactly is LiDAR function?

LiDAR generally works with four main components:

  1. Laser: Laser transmits the light waves to targets such as pedestrians, cars, buildings and many other. The light waves are infrared, ultraviolet or near-infrared.
  2. Scanner: It controls the speed of the laser's scan object of interest and the distance the that the laser is able to reach.
  3. Sensor It measures the amount of amount of time it takes for beam of light to hit of the object of interest and then return to LiDAR.
  4. GPS: It records the position that is tracked by its LiDAR technology to guarantee that the distance of the targeted object and the LiDAR system is precise and precise.

What Makes Building an Autonomous Vehicle So Challenging?

The issue boils down to is developing a fully autonomous vehicle in all situations is a huge challenge. It's more complex than what automotive engineers anticipated at the beginning of their plans and that's why businesses have had to put off the timelines, liquidate autonomous divisions and rethink their strategies. Let's look at what makes this project so difficult

  • The World is Complex. Autonomous vehicles must navigate through a complex and confusing world of different roads and pedestrians, street signs and other vehicles, structures and many more.
  • Humans are Unpredictable. The vehicles must not just understand its driver's behavior, but be in a position to predict human behavior, which we have seen, is quite indeterminate.
  • Tech is Expensive. The technology used on autonomous cars (think cameras LiDAR systems, cameras and the RADAR) can be used to record the outside world and assist the vehicle make choices. However, this equipment requires significant improvement in order to supply the precise data for Speech Transcription that vehicles require. It's also not cost-effective.
  • Training Must be Thorough. Autonomous vehicles should be properly prepared for any situations (for instance extreme weather, such as fog or snow) It's extremely difficult to forecast all situations that a vehicle could encounter.
  • There's No Margin for Error. Autonomous vehicles can be a life or death scenario because they directly affect the driver's and safety of the passengers. They must be 100% precise.

What can GTS assist you?

 GTS offer analytic and data gathering services. GTS is known for offering the highest-quality Speech Recognition Dataset as well as precise data. No matter if your goal is self-driving cars or other thing using the multimodal Computer Vision and ML-based tools enable you to develop world-class AI. Our services and platform offer the highest level of precision and speed that allow you to grow rapidly while knowing that you have a wealth of high-quality, annotated information available.


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