Nerd For Tech
Published in

Nerd For Tech

Vertical Industries Where Autonomous Driving Can Take the Lead

Grasp the core and keep landing

What is the core changing factor of the autonomous driving track? Someone from Hillhouse said that the main factor is the rapid increase in the penetration rate of automobile intelligence. “The landing speed of L1-L3 has exceeded expectations. In addition, the commercialization of logistics and distribution, food delivery, and cleaning, agriculture and other fields is progressing very fast as well.”

And how should the companies exert their power? Some insiders pointed out that the scenes are detailed and complex for the entire autonomous driving market, and it is difficult for one to dominate. Start-ups should try their best in the subdivision and grow step by step. Some start-ups have been in vertical industries such as unmanned sanitation, unmanned urban distribution, and smart travel.

Automatic sanitation

In Chentao Capital’s “Environmental Sanitation Autonomous Driving Research Report,” from 2022, the total cost of self-driving sanitation vehicles will be lower than that of manual sanitation vehicles. In 2025, there will be a potential market for unmanned road cleaning and garbage removal services. The potential value is as high as 329.1 billion RMB(49 billion USD), the highest ceiling among all low-speed autonomous driving application scenarios.

Moreover, according to industry experts, the environmental sanitation service industry has a market size of 300 billion RMB(49 billion USD). The environmental sanitation equipment industry also has a market size of 100 billion RMB(14.89 billion USD). The labor cost of environmental sanitation service companies accounts for more than 60%. Under brutal competition, whoever landed first on a large scale is to seize the market opportunity.

At present, the labor cost in the cost structure of the sanitation industry accounts for as high as 70%. At the same time, the sanitation industry faces a severe problem of labor shortage and aging. Most of the sanitation workers are over 60 years old, and the difficulty in employment and recruitment is becoming more serious. The integration of mechanization and autonomous driving can fill this gap.

The sanitation mechanization rate has been implemented for so many years. The application of the machine can not solve all the problems. We need a series of professional fleets, light and heavy, covering the entire space of the road at different times of the day.

High-quality training data is helping artificial intelligence break new barriers

The three essential elements for artificial intelligence to operate are computing power, algorithms, and data. Together, they form the whole of artificial intelligence.

High-quality training data will maximize the efficiency of artificial intelligence, while low-quality AI data will be not only impossible to improve efficiency, but also will hinder the evolution of artificial intelligence to a certain extent.

Previously, the media reported that a user had a car accident while riding in a smart driving vehicle. After the investigation, it was discovered that the smart driving system failed to distinguish the difference between the white vehicle and the cloud and did not identify obstacles. The vehicle failed to brake in time, which in turn triggered tragic consequences.

In this case, the lack of accurate data on the distinction between white vehicles and the cloud is the direct factor leading to the tragedy.

Therefore, the measures to provide high-quality AI data for different scenarios and different needs have gradually become the consensus of artificial intelligence solutions.

Common Data Labeling Types Include:

A New Solution For the Self-Driving Data Annotation Project

ByteBridge, a human-powered and ML-powered data training platform provides high-quality services to collect and annotate different types of data such as text, image, audio, and video to accelerate the development of the machine learning industry.

Quality Guarantee

  • ML-assisted capacity can help reduce human errors by automatically pre-labeling
  • The real-time QA and QC are integrated into the labeling workflow as the consensus mechanism is introduced to ensure accuracy
  • Consensus — Assign the same task to several workers, and the correct answer is the one that comes back from the majority output
  • All work results are completely screened and inspected by machines and the human workforce

In this way, ByteBridge can affirm our data acceptance and accuracy rate is over 98%.

Communication Cost Saving

On ByteBridge’s SaaS dashboard, developers can start the labeling projects by using the labeling instruction template and get the results back instantly.
From online setting labeling briefing to expert support alongside, the instruction communication is not that hard anymore.

ByteBridge Labeling Instruction Template

3D Point Cloud Annotation Service

ByteBridge self-developed 3D Point Cloud labeling, quality inspection tool, and pre-labeling functions can complete high-quality and high-precision 3D point cloud annotation for 2D-3D fusion or 3D images provided by different manufacturers and equipment, and provide one-station management service of labeling, QA, and QC.

More info: ByteBridge Launches World’s First Mobile 3D Point Cloud Data Labeling Service

ByteBridge 3D Point Cloud Annotation Tool

3D Point Cloud Annotation Types:

  • Sensor Fusion Cuboids: 49 categories include car, truck, heavy vehicle, two-wheeled vehicle, pedestrian, etc.
  • Sensor Fusion Segmentation: obstacles classification, different types of lanes differentiation
  • Sensor Fusion Cuboids Tracking

① Tracking the same object with the same ID, labeling the leaving state;

② Time-aligned 2D images could be provided, point clouds outputs only.

Advantages of Our 3D Point Cloud Annotation Service:

· Support 2D/3D sensor fusion, support multiple cameras

· Support scalable data annotation

· AI-powered sensor fusion tool: labeling at 2X-5X speed

· Ease of use QC tool: real-time revision and synchronous feedback

ByteBridge 3D Point Cloud QC Tool

Cost-effective

A collaboration of the human-work force and AI algorithms ensure a 50% lower price compared to the conventional market.

End

If you need data labeling and collection services, please have a look at bytebridge.io, the clear pricing is available.

If you would like to have a look at the 3D point cloud live demo, please feel free to contact us: support@bytebridge.io

Source: https://view.inews.qq.com/a/20211206A050DX00

--

--

--

NFT is an Educational Media House. Our mission is to bring the invaluable knowledge and experiences of experts from all over the world to the novice. To know more about us, visit https://www.nerdfortech.org/.

Recommended from Medium

Combining AI and Robotics

How Cognitive AI in Healthcare can Enhance Organizations

Artificial Intelligence Taking Over These Works Soon

AI and ML — Redesigning Existing Anti-money Laundering Practices

Reinforcement Learning

Robots are Here to Assist You, Not Take Away Your Jobs

Why Machine Ethics Ain’t What They Used To Be

Talking to machines: why it’s hard and how it could change everything

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
ByteBridge

ByteBridge

A data labeling platform with robust tools for real-time workflow management, providing high-quality training data with efficiency. — https://bytebridge.io/#/

More from Medium

Tensorflow-Lite Object detection in Edge Devices.

ArcFace Project (Part 1/5)

docTR : Rise of New age scene text detection

Am I Allergic to This? Developing a Voice Assistant for Sight Impaired People