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VDL Automated Vehicles
Netherlands
A
11-50 Employees
-
Key takeaway
VDL Automated Vehicles is a leading supplier of heavy-duty automated transport solutions, highlighting its expertise in developing and implementing innovative logistics technologies.
Reference
Core business
Company
Ush
Ixelles - Elsene, Belgium
A
1-10 Employees
2019
Key takeaway
USH is positioned as Belgium's leading provider of shared autonomous vehicles, offering comprehensive services to support the development of autonomous vehicle projects. They are currently implementing shared autonomous shuttle buses to enhance last-mile connectivity.
Reference
Core business
ush - Shared Autonomous Vehicles - Belgium
Belgium's first dedicated autonomous shared mobility provider
EVIE Autonomous
Stoke-on-Trent, United Kingdom
A
1-10 Employees
-
Key takeaway
EVIE Autonomous is a leading player in the autonomous vehicle industry, developing and manufacturing electric, fully autonomous shuttles designed for various applications such as passenger transportation and last-mile delivery. Their innovative approach and commitment to scaling production position them to meet the growing demand for autonomous vehicles.
Reference
Core business
EVIE Autonomous - Autonomous Vehicle Technology
Evie Autonomous
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Aidrivers Ltd.
London, United Kingdom
A
51-100 Employees
-
Key takeaway
Aidrivers is focused on accelerating the transition to autonomous mobility, particularly for ports, through its AI-enabled fleet operator that enhances operations, safety, and productivity. Their integrated simulation platform and multisensory data fusion technology support the development of autonomous systems, providing a robust framework for real-world application and operational efficiency in challenging environments.
Reference
Product
Aidrivers | Autonomous Mobility. Invented for sustainability.
We provide autonomous mobility solutions for industrial automation to optimise the business operations and improve quality of services.
Pendel Mobility
Barcelona, Spain
A
1-10 Employees
2020
Key takeaway
Pendel Mobility offers a comprehensive guide for transport planners and authorities interested in deploying autonomous vehicles (AVs). Their solutions encompass various use cases, including passenger transportation, logistics, and maintenance, highlighting the value and practical applications of AVs in both public and private settings.
Reference
Core business
Home - Pendel Mobility
An all-inclusive solution for deployment of autonomous driving technologies, at public or private sites. Let's automate future mobility together.
Kopernikus Automotive
Berlin, Germany
A
11-50 Employees
2016
Key takeaway
Kopernikus Automotive is a leading developer of autonomous driving solutions, specifically AVP Type 2 technology, which offers an infrastructure-based approach to enable serial-production cars to drive autonomously. Their expertise and collaboration with global partners aim to shape the future of seamless mobility through advancements in automated driving.
Reference
Core business
Autonomous Driving Solutions | Kopernikus Automotive
Kopernikus Automotive is the leading developer of an autonomous driving solution called AVP Type 2 technology - short AVP2 technology. This technology is an infrastructure-based approach to autonomous driving that enables any serial-production car to drive autonomously today.
Wayve
London, United Kingdom
A
101-250 Employees
2017
Key takeaway
Wayve is revolutionizing self-driving technology through its AI-driven Wayve AI Driver, which can be integrated into various vehicles to enable fully autonomous driving capabilities. Their approach focuses on training and deploying advanced models for safe and scalable autonomy, accelerating the development of the future of autonomous delivery.
Reference
Product
Wayve Driver – AI software & fleet learning platform
Wayve Driver is an autonomous driving AI software system that enables fully driverless operation when integrated with any potential vehicle
autobotik
Singapore, Singapore
C
1-10 Employees
2018
Key takeaway
Autobotik specializes in automated driving and self-driving technology, offering services and solutions that support the development and implementation of new mobility systems. Their collaboration with resembler.ai provides extensive testing data for driving algorithms, highlighting their commitment to advancing autonomous vehicle technologies.
Reference
Core business
Automotive Consultancy | Autobotik Automotive Robotics
Autobotik Automotive Robotics | Autobotik is a deep tech Systems Consulting and Advisory firm that focuses on automated driving, ADAS, AI, vehicle electrification, vehicle connectivity, and all services that relate to new mobility. Self-driving, Deep Learning, AD/ADAS, Architecture, Algorithms, Functional Safety FuSa, SOTIF,...
EasyMile
Montesquieu-Lauragais, France
A
101-250 Employees
2014
Key takeaway
EasyMile specializes in autonomous vehicle technology, offering software and complete solutions for driverless transport of goods and passengers. With deployments in over 400 locations globally, EasyMile is at the forefront of accelerating the commercialization of autonomous mobility solutions.
Reference
Product
Driverless technology for a range of vehicle solutions - EasyMile
AppliedAutonomy
Kongsberg, Norway
A
1-10 Employees
2017
Key takeaway
Applied Autonomy is dedicated to advancing autonomous transportation through innovative software solutions, particularly in the mobility and logistics sectors. Their xFlow® platform enhances transport by making it secure, optimized, sustainable, and automated, aligning with the growing demand for autonomous vehicles.
Reference
Core business
Home
Applied Autonomy's xFlowⓇ makes transport secure, optimised, sustainable and automated
Technologies which have been searched by others and may be interesting for you:
An autonomous vehicle is a type of transportation that can operate without human intervention. These vehicles utilize a combination of sensors, cameras, and advanced algorithms to navigate and make decisions on the road. They are designed to enhance safety and efficiency, significantly reducing the likelihood of accidents caused by human error. The technology behind autonomous vehicles includes artificial intelligence, machine learning, and complex data processing, allowing them to interpret their surroundings in real-time. As the industry evolves, these vehicles are expected to revolutionize transportation by improving accessibility and reducing traffic congestion.
Autonomous vehicles operate using a combination of sensors, cameras, and advanced algorithms. These technologies allow the vehicle to perceive its environment, identify obstacles, and make real-time decisions. Sensor Integration Lidar, radar, and ultrasonic sensors create a comprehensive map of the surroundings. This data is processed by onboard computers, which interpret the information and plan safe routes. Machine Learning Machine learning algorithms enable the vehicle to improve its performance over time by learning from various driving scenarios. This continuous learning process enhances the vehicle's ability to navigate complex environments autonomously.
1. Increased Safety
Autonomous vehicles are designed to reduce human error, which is a leading cause of accidents. By utilizing advanced sensors, cameras, and AI algorithms, these vehicles can detect obstacles and respond to road conditions more quickly than human drivers, significantly lowering the risk of collisions.
2. Improved Traffic Efficiency
These vehicles can communicate with each other and with traffic management systems. This connectivity allows for optimized routing and smoother traffic flow, which can lead to reduced congestion and shorter travel times. As a result, autonomous vehicles contribute to more efficient transportation systems overall.
3. Enhanced Accessibility
Autonomous vehicles offer greater mobility options for individuals who are unable to drive, such as the elderly or disabled. This increased access to transportation can improve the quality of life for many people by providing them with greater independence and mobility.
4. Environmental Benefits
Many autonomous vehicles are electric, which helps to reduce greenhouse gas emissions. Additionally, their ability to optimize driving patterns can lead to lower energy consumption, further contributing to environmental sustainability.
5. Cost Savings
Over time, autonomous vehicles can lead to reduced costs associated with accidents, insurance, and fuel consumption. With fewer accidents, insurance premiums may decrease, and the efficiency of electric vehicles can lower overall energy costs.
Autonomous vehicles utilize a range of advanced technologies to navigate and operate without human intervention. One of the key components is LiDAR, which uses laser light to create detailed 3D maps of the environment, allowing the vehicle to detect obstacles and understand its surroundings. Another important technology is computer vision, which enables the vehicle to interpret visual data from cameras and identify objects, lane markings, and road signs. Additionally, machine learning algorithms play a crucial role in processing data, helping the vehicle improve its decision-making over time based on real-world experiences. These technologies work together to ensure safe and efficient operation of autonomous vehicles.
The future of autonomous vehicles is poised for significant advancements, driven by rapid developments in artificial intelligence, machine learning, and sensor technology. As companies continue to innovate, we can expect enhanced safety features, improved navigation systems, and increased integration with smart city infrastructure. Moreover, regulatory frameworks are evolving to accommodate these technologies, fostering an environment conducive to wider adoption. As a result, autonomous vehicles are likely to become more commonplace, transforming transportation systems and urban planning while reducing traffic congestion and emissions. The ongoing research and investment in this field will further shape the landscape, making autonomous mobility a reality in the near future.
Some interesting numbers and facts about your company results for Autonomous Vehicle
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 5906 |
| Amount of suitable service providers | 5431 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2014 |
| Youngest suiting company | 2020 |
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Some interesting questions that has been asked about the results you have just received for Autonomous Vehicle
What are related technologies to Autonomous Vehicle?
Based on our calculations related technologies to Autonomous Vehicle are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Autonomous Vehicle?
Start-Ups who are working in Autonomous Vehicle are Pendel Mobility
Which industries are mostly working on Autonomous Vehicle?
The most represented industries which are working in Autonomous Vehicle are IT, Software and Services, Automotive, Other, Logistics, Supply Chain and Transportation, Automation
How does ensun find these Autonomous Vehicle Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
