How Data Labeling Services Empower Self-Driving Industry 2021? — Part3
A few days ago, according to overseas media reports, the German Bundestag passed the draft “automatic driving law”, which was submitted to the German Federal Council for approval on May 28, 2021. With the approval of the Federal Council, the German federal president will issue and publish it in the Federal Register.
It is reported that with the approval of the Federal Council, Germany will become the first country in the world to allow driverless vehicles to participate in daily traffic and apply them on a nationwide scale. By 2022, the country will allow automatic driving vehicles (L4) to run on public roads and designated areas.
The specific bill shows that in the future, autopilot should be able to achieve full automatic driving in specific areas across the country’s public roads without the help of human drivers or security personnel. The government should take further measures to actively implement the self-driving vehicles and their supporting industries in urban construction, and take full use of these products and services, not only letting them serve the society but also letting the society participate in promoting the development of technology.
The specific L4 driverless vehicle application scenarios include bus traffic; passenger car (a bus running on a designated route); Hub2hub transportation (e.g. to and from two distribution centers); Transportation demand during off-peak hours; Transportation of people or goods in the first/last kilometer“ Dual-mode vehicles, such as automatic valet parking (AVP).
In fact, as early as 2017, the German Federal Senate passed the eighth amendment to the road traffic law; At that time, the “amendment” stipulated that vehicles meeting the following all conditions could be regarded as “highly or fully automated driving equipment”: 1. They could independently realize lateral or longitudinal movement; 2. After turning on the “high or full-automatic driving” function, the road traffic regulations can be strictly abided by 3. The driver can control or even turn off the “high or full-automatic driving” function anytime and anywhere; 4. The driver can realize the necessity of driving the vehicle by himself; 5. The system can timely remind the driver to take over the control of the vehicle through visual, auditory, or tactile channels.
The amendment also stipulates that the driver has the obligation to immediately take over the control of the vehicle under the following circumstances: 1. When the “height or full automation system” requests to take over the vehicle; 2. When the driver realizes or should realize based on common sense — the vehicle doesn’t have the ability to operating conditions of “high or fully automated driving any longer”.
In other words, the original bill began to force self-driving vehicles to be equipped with human safety officers to take over at any time. The new law is to allow vehicles with L4 level automatic driving ability under the SAE standard to be put into use without having to be equipped with drivers or safety officers.
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L3 ：Conditional Automation
On this level, the driver can “release” himself, but he still needs to keep his nerves tight and observe all the time. He has to be ready to take over the driving in case of an emergency. Therefore, L3 is also called conditional automation. However, the importance of the driver is decreasing.
L4： Highly Automated
On this level, the vehicle almost replaces the driver. Playing the role of a teacher, the driver can either have a rest or take over the vehicle alternatively.
L5： Fully Automated
L5 level is more ideal, which means that the vehicle has completely replaced the driver, and there is no need to worry about any weather or geographical factors. In the future, the car will be transformed from a car to a cabin. Under any condition, an intelligent computer can control the car. Of course, the driver can also choose to operate it.
The more accurate annotation is, the better algorithm performance will be.
Any tiny error during a driving experience may lead to dreadful results. Nowadays, people are more and more concerned about the driving safety issue as several self-driving automobile accidents happened.
With the tremendous amount of training data and the high accuracy requirement, a high-quality data annotation service is crucial to guarantee autonomous vehicles are safe for the public.
Back to Tesla, this company uses cameras for visual detection, each car is equipped with 8 surround cameras. There are more than 750,000 Tesla cars around the world. If a Tesla user drives one hour a day on average, 180 million hours of video record can be generated per month.
Tesla Autopilot project has included 300 engineers plus more than 500 skilled data annotators. The company plans to enlarge the data annotation team to 1,000 people in order to support the data process. In an interview, Elon Musk admits that annotation is a tedious job, and it requires skills and training, especially when it comes to 4D (3D plus time series).
Common applications include:
ByteBridge is a human-powered and ML-powered data labeling tooling platform, provides scalable, high-quality training data for ML/AI industry with flexible workflow.
- 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 the machine and human workforce.
In this way, ByteBridge can affirm the data acceptance and accuracy rate is over 98%.
Configure Your Own Annotation Project
On ByteBridg’s dashboard, developers can set labeling rules directly, check the ongoing process simultaneously on a pay-per-task model with a clear estimated time and price.
For example, you can choose an Autopilot Annotation Template on the dashboard:
A collaboration of the human-work force and AI algorithms ensure a 50% lower price compared to the conventional market.
Self-driving technology is going to transform the transportation industry, social and daily lives. It’s hard to know when that day will arrive. As life is priceless, we have to seek perfection from the beginning.
We can provide personalized annotation tools and services according to customer requirements.
If you need data labeling and collection services, please have a look at bytebridge.io, the clear pricing is available.
Please feel free to contact us: firstname.lastname@example.org
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