Robohub.org
 

Baidu’s self-driving tech plans revealed

by
09 July 2017



share this:

In the race to develop self-driving technology, Chinese Internet giant Baidu unveiled its 50+ partners in an open source development program, revised its timeline for introducing autonomous driving capabilities on open city roads, described the Project Apollo consortium and its goals, and declared Apollo to be the ‘Android of the autonomous driving industry’.

At a developer's conference last week in Beijing, Baidu described its plans and timetable for its self-driving car technology. It will start test-driving in restricted environments immediately, before gradually introducing fully autonomous driving capabilities on highways and open city roads by 2020. Baidu's goal is to get those vehicles on the roads in China, the world's biggest auto market, with the hope that the same technology, embedded in exported Chinese vehicles, can then conquer the United States. To do so, Baidu has compiled a list of cooperative partners, a consortium of 50+ public and private entities, and named it Apollo, after NASA's massive Apollo moon-landing program. 

Project Apollo

The program is making its autonomous car software open source in the same way that Google released its Android operating system for smartphones. By encouraging companies to build upon the system and share their results, it hopes to overtake rivals such as Google/Waymo, Tencent, Alibaba and others researching self-driving technology. 

MIT Technology Review provided a description of the open source Apollo project:

The Apollo platform consists of a core software stack, a number of cloud services, and self-driving vehicle hardware such as GPS, cameras, lidar, and radar.

The software currently available to outside developers is relatively simple: it can record the behavior of a car being driven by a person and then play that back in autonomous mode. This November, the company plans to release perception capabilities that will allow Apollo cars to identify objects in their vicinity. This will be followed by planning and localization capabilities, and a driver interface.

The cloud services being developed by Baidu include mapping services, a simulation platform, a security framework, and Baidu’s DuerOS voice-interface technology.

Members of the project include Chinese automakers Chery, Dongfeng Motor, Foton, Nio, Yiqi and FAW Group. Tier 1 members include Continental, Bosch, Intel, Nvidia, Microsoft and Velodyne. Other partners include Chinese universities, governmental agencies, Autonomous Stuff, TomTom, Grab and Ford. The full list of members can be seen here.

Quoting from Bloomberg News regarding the business aspect of Project Apollo:

China has set a goal for 10 to 20 percent of vehicles to be highly autonomous by 2025, and for 10 percent of cars to be fully self-driving in 2030. Didi Chuxing, the ride-sharing app that beat Uber in China, is working on its own product, as are several local automakers. It’s too early to tell which will ultimately succeed though Baidu’s partnership approach is sound, said Marie Sun, an analyst with Morningstar Investment Service.

“This type of technology needs cooperation between software and hardware from auto-manufacturers so it’s not just Baidu that can lead this,” she said. If Baidu spins off the car unit, “in the longer term, Baidu should maintain a major shareholder position so they can lead the growth of the business.”

Baidu and Apollo have a significant advantage over Google's Waymo: Baidu has a presence in the United States, whereas Alphabet has none in China because Google closed down its search site in 2010 rather than give in to China's internet censorship.

Strategic Issue

According to the Financial Times, “autonomous vehicles pose an existential threat [to global car manufacturers]. Instead of owning cars, consumers in the driverless age will simply summon a robotic transportation service to their door. One venture capitalist says auto executives have come to him saying they know they are “screwed”, but just want to know when it will happen.” 

This desperation has prompted a string of big acquisitions and joint ventures amongst competing providers including those in China. Citing just a few:

  • Last year GM paid $1bn for Cruise, a self-driving car start-up.
  • Uber paid $680m for Otto, an autonomous trucking company that was less than a year old.
  • In March, Intel spent $15bn to buy Israel’s Mobileye, which makes self-driving sensors and software.
  • Baidu acquired Raven Tech, an Amazon Echo competitor; 8i, an augmented reality hologram startup; Kitt, a conversational language engine; and XPerception, a vision systems developer.
  • Tencent invested in mapping provider Here and acquired 5% of Tesla.
  • Alibaba announced that it is partnering with Chinese Big 4 carmaker SAIC in their self-driving effort.

China Network

Baidu’s research team in Silicon Valley is pivotal to their goals. Baidu was one of the first of the Chinese companies to set up in Silicon Valley, initially to tap into SV's talent pool. Today it is the center of a “China network” of almost three dozen firms, through investments, acquisitions and partnerships. 

Baidu is rapidly moving forward from the SV center: 

  • It formed a self-driving car sub-unit in April which now employs more than 100 researchers and engineers. 
  • It partnered with chipmaker Nvidia.
  • It acquired vision systems startup XPerception.
  • It has begun testing its autonomous vehicles in China and California. 

Regarding XPerception, Gartner research analyst Michael Ramsey said in a CNBC interview:

“XPerception has expertise in processing and identifying images, an important part of the sensing for autonomous vehicles. The purchase may help push Baidu closer to the leaders, but it is just one piece.”

XPerception is just one of many Baidu puzzle pieces intended to bring talent and intellectual property to the Apollo project. It acquired Raven Tech and Kitt AI to gain conversational transaction processing. It acquired 8i, an augmented reality hologram startup, to add AR — which many expect to be crucial in future cars — to the project. And it suggested that the acquisition spree will continue as needed.

Bottom Line

China has set a goal for 10 to 20 percent of vehicles to be highly autonomous by 2025, and for 10 percent of cars to be fully self-driving in 2030 and Baidu wants to provide the technology to get those vehicles on the roads in China with the hope that the same technology, embedded in exported Chinese vehicles, can then conquer the United States. It seems well poised to do so.



tags: ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Robotics Today latest talks – Raia Hadsell (DeepMind), Koushil Sreenath (UC Berkeley) and Antonio Bicchi (Istituto Italiano di Tecnologia)

Robotics Today held three more online talks since we published the one from Amanda Prorok (Learning to Communicate in Multi-Agent Systems). In this post we bring you the last talks that Robotics Today (currently on hiatus) uploaded to their YouTube channel: Raia Hadsell from DeepMind talking about ‘Scalable Robot Learning in Rich Environments’, Koushil Sreenath from UC Berkeley talking about ‘Safety-Critical Control for Dynamic Robots’, and Antonio Bicchi from the Istituto Italiano di Tecnologia talking about ‘Planning and Learning Interaction with Variable Impedance’.
21 October 2021, by and

Sense Think Act Pocast: Erik Schluntz

In this episode, Audrow Nash interviews Erik Schluntz, co-founder and CTO of Cobalt Robotics, which makes a security guard robot. Erik speaks about how their robot handles elevators, how they have hum...
19 October 2021, by and

A robot that finds lost items

Researchers at MIT have created RFusion, a robotic arm with a camera and radio frequency (RF) antenna attached to its gripper, that fuses signals from the antenna with visual input from the camera to locate and retrieve an item, even if the item is buried under a pile and completely out of view.
18 October 2021, by

Robohub gets a fresh look

If you visited Robohub this week, you may have spotted a big change: how this blog looks now! On Tuesday (coinciding with Ada Lovelace Day and our ‘50 women in robotics that you need to know about‘ by chance), Robohub got a massive modernisation on its look by our technical director Ioannis K. Erripis and his team.
17 October 2021, by
ep.

339

podcast

High Capacity Ride Sharing, with Alex Wallar

In this episode, our interviewer Lilly speaks to Alex Wallar, co-founder and CTO of The Routing Company. Wallar shares his background in multi-robot path-planning and optimization, and his research on scheduling and routing algorithms for high-capacity ride-sharing. They discuss how The Routing Company helps cities meet the needs of their people, the technical ins and outs of their dispatcher and assignment system, and the importance of public transit to cities and their economics.
12 October 2021, by

50 women in robotics you need to know about 2021

It’s Ada Lovelace Day and once again we’re delighted to introduce you to “50 women in robotics you need to know about”! From the Afghanistan Girls Robotics Team to K.G.Engelhardt who in 1989 ...
12 October 2021, by and





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association