5 Levels of Autonomous Vehicles & Challenges of Self-Driving Cars

mediumThis post was originally published by Vikram Singh Bisen at Medium [AI]

Do you know why autonomous vehicles are still not on the road, or what are the reasons it is taking this much time to make such vehicles successfully run on the road?

Many small problems are working with such technology. And then there’s the challenge of solving all those small problems and putting the whole system together to work ADAS technology.

Few automotive manufacturers like Tesla are already integrated certain level of automation into the cars, but not level 5 or full automation, as there are certain challenges of autonomous vehicles making difficult for the manufacturers to develop an AI-enabled fully automated car that can run without human intervention with complete safety.

As we know, to develop an autonomous vehicle, a machine learning-based technology used for integrating AI into the model. The data gathered through sensors can be understood by cars only through machine learning algorithms.

These algorithms will help identify objects like a pedestrian, a street light detected by the sensors and classify them, as per the system’s training.

And then, the car uses this information to help decide whether the car needs to take the right action to move, stop, accelerate, or turn aside to avoid a collision from objects detected by the sensors.

Autonomous cars run on the road, and once it starts driving, machine learning helps it learn while driving. And while moving on the road, it can detect various objects that have not come across while training and be subject to software updates.

Another hurdle for the self-driving car is there are no specific regulations or sufficient standards for the whole autonomous system.

Over the past year while testing or in real-life use, self-driving cars involved in the crash on autopilot mode. And such incidents discourage people to fully rely on autonomous cars due to safety reasons.

Hence, social acceptability is not acceptable to such car owners but also among other people who are sharing the road while running on the road with them.

So, people need to accept and adopt the self-driving vehicle’s systems with involvement in the introduction of such new-age technology.

To sense the surroundings of an environment, a self-driving car use abroad set of sensors like Camera, Radar, and LIDAR. These sensors help to detect varied objects like pedestrians, other vehicles, and road signs.

All these sensors feed all gathered data back to the car’s control system or computer to help it make decisions about where to steer or when to brake and turn in the right direction.

Video: Why LiDAR is used for Autonomous Vehicles?

3D Point Cloud Labeling for LIDARs Sensors

To utilize the power of sensing the objects from the distance, LIDAR is no doubt the best suitable sensor for self-driving cars, but making the different types of objects and various scenarios perceivable such images are labeled through 3D Point Cloud Annotation service.

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This post was originally published by Vikram Singh Bisen at Medium [AI]

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