Companies in this market develop the “brains” for autonomous passenger vehicles, including the necessary software and hardware that allow vehicles to perceive their surroundings, localize themselves, and plan accordingly. This market also includes companies developing advanced driver assistance systems as well as “platform agnostic” autonomy solutions — i.e., self-driving stacks that can be used for a variety of vehicle types.
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Claim your CB Insights ProfileLeaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Autonomous Driving Systems (Passenger). These companies include Pony.ai and Argo AI.
United States / Founded Year: 2016
Pony.ai aims to build reliable autonomous driving solutions. Pony.ai's fully self-developed software algorithms and infrastructure enable vehicles to perceive their surroundings, predict what others will do, and maneuver themselves accordingly.
James Peng, Lawrence Steyn, Tiancheng Lou
United States
Argo AI is an artificial intelligence company that is developing machine-learning software for autonomous vehicles.
Bryan Salesky, Peter Rander, Brett Browning
China / Founded Year: 2017
WeRide is a mobility company powered by AI technology focused on autonomous vehicles. The company is creating a mobility ecosystem to transform every single trip to be safe, efficient, cost-effective and entertaining.
Han Xu, Qing Lu, Li Zhang, and 2 more
China / Founded Year: 2016
UISEE independently developed an intelligent driving system for multi-scenario and high-level autonomous driving, and relying on the top autonomous technology,continue to explore the intelligent travel, autonomous logistics as the core of the business territory. UISEE has commercialized in a number of scenes, such as autonomous logistics, autonomous valet parking, autonomous micro-bus and so on.
Yan Jiang, Gansha Wu
China / Founded Year: 2013
ZongMu Technology develops an advanced driver assistance system, including 2D and 3D panoramic vision systems, self-parking solutions, and driving recording systems.
Rui Tang
China / Founded Year: 2019
DiDi Autonomous Driving, spun off from Didi's autonomous driving unit, focuses on advanced AD technology research and development, product application, and other expanding businesses.
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Autonomous Driving Systems (Passenger). These companies include Momenta and Deeproute.ai.
China / Founded Year: 2016
Momenta is building the “brain” for autonomous vehicles. The company's deep learning-based software in perception, HD Map, and data-driven path planning enables the realization of full autonomy. Momenta pursue a two-leg strategy of autonomous driving for mass-production passenger vehicles (Mpilot) and full autonomy (MSD) for mobility service vehicles. Momenta focuses on partnering with existing automakers to use their vehicles as platforms for its equipment and software and to tap into their stores of data.
Shaoqing Ren, Xudong Cao, Hardy Zhang
China / Founded Year: 2019
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Autonomous Driving Systems (Passenger). These companies include Oxbotica and HoloMatic.
United Kingdom / Founded Year: 2014
Oxbotica is a spin-out from Oxford University's Mobile Robotics Group specializing in mobile autonomy, navigation and perception. The company's solutions allow robots, vehicles, machinery and people to map, navigate and actively interact with their surroundings, delivering new capability and precision to a wide range of applications. Its 3D imaging and localization solutions operate indoors and outdoors and are suitable for use in applications ranging from handheld survey devices to autonomous vehicles.
China / Founded Year: 2017
HoloMatic is a startup company dedicated to providing autonomous driving solutions based on artificial intelligence and automotive industry technologies.
Kai Ni
United States / Founded Year: 2017
Ghost uses initiation learning to create self-driving kits for cars. Ghost begins with human observation, recording what real-world drivers see and how they react to create a ground truth. The company’s AI uses this to model correct driving behaviors, creating a capable, dynamic autonomous control policy that can scale to almost any modern car.
Volkmar Uhlig, John Hayes, Par Botes
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Autonomous Driving Systems (Passenger). These companies include AutoX and Apex.AI.
United States / Founded Year: 2016
AutoX develops artificial intelligence solutions for autonomous vehicles. The company has invented a camera-first self-driving solution that amounts to only a tiny fraction of the cost of traditional LiDar-based approaches.
Jianxiong Xiao, Jewel Li, Hugo Fozzati
United States / Founded Year: 2017
Apex.AI develops operating systems for various types of autonomous mobility platforms. Apex's software stack is designed to easily integrate into existing systems and serve as the enterprise version of the Robot Operating System, an open-source software middleware for robotics. It was founded in 2017 and is based in Palo Alto, California.
Green Hills Software, Continental, Lynx Software Technologies
Dejan Pangercic, Jan Becker, Paul Balciunas, and 1 more
United Kingdom / Founded Year: 2017
Wayve provides AI software for autonomous cars using computer vision. Wayve's approach is to use machine learning to teach a car how to drive itself. It uses less cameras per the company.
Simon Lewis, Alex Kendall
Companies in this market develop the “brains” for autonomous passenger vehicles, including the necessary software and hardware that allow vehicles to perceive their surroundings, localize themselves, and plan accordingly. This market also includes companies developing advanced driver assistance systems as well as “platform agnostic” autonomy solutions — i.e., self-driving stacks that can be used for a variety of vehicle types.
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