The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Nav Tech Electronics India Pvt. Ltd.
Hyderabad, India
D
11-50 Employees
1997
Key takeaway
Navtech has expertise in the complete development of autonomous driving systems, particularly in Advanced Driver-Assistance Systems (ADAS), highlighting their innovative automation products in both embedded and application development.
Highlighted product
Service
Autonomous Driving ADAS
Autonomous Driving Research
Scottsdale, United States
B
1-10 Employees
2015
Key takeaway
The company emphasizes the significance of autonomy in AI projects, highlighting its focus on autonomous driving research.
Highlighted product
Core business
Autonomous Driving Research
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 operations that enhance safety and productivity. Their integrated simulation platform and multisensory data fusion technologies support effective scheduling, path planning, and real-time environment perception, making them a key player in the autonomous driving ecosystem.
Highlighted product
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.
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
Wayve
London, United Kingdom
A
101-250 Employees
2017
Key takeaway
Wayve is revolutionizing self-driving technology through its AI-driven Wayve AI Driver system, which allows for fully autonomous operation when integrated into various vehicles. Their innovative approach, supported by top partnerships, aims to accelerate the development and deployment of safe and scalable autonomous driving solutions.
Highlighted product
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
Auto Drive Solutions
Puentes Viejas, Spain
A
1-10 Employees
2015
Key takeaway
Auto Drive Solutions is a mobility company that focuses on innovative technologies to support the future of transportation, which may include advancements in autonomous driving.
Highlighted product
Core business
Autodrive Solutions
Self Drive News
Elizabethtown, United States
B
1-10 Employees
2022
Key takeaway
Self Drive News is a dedicated resource for professionals in the autonomous vehicle industry, providing timely and reliable updates. The company highlights significant developments, such as Volkswagen's autonomous driving test program in Austin and WeRide's achievement of UAE's first self-driving car national license.
Highlighted product
Core business
Self Drive News - Self-Driving and Autonomous Vehicle News
Self Drive News is a digital platform dedicated to the autonomous and self-driving industry. Our mission is to inform and engage our audience on the latest news and insights.
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 collaborations aim to shape the future of seamless mobility through innovative autonomous driving technologies.
Highlighted product
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.
SD Advanced Engineering
Oxford, United Kingdom
A
11-50 Employees
2017
Key takeaway
The company, StreetDrone, offers tailored full-stack autonomous solutions, supporting partners and customers from concept to deployment. They are dedicated to advancing R&D in autonomous driving by collaborating with universities and providing self-driving vehicles for educational purposes.
Highlighted product
Product
software – SD Advanced Engineering
Sky AutoNet
Seoul, South Korea
A
- Employees
-
Key takeaway
The company offers a range of Autonomous Driving solutions, including ADAS and smart sensing modules, which are essential for enhancing vehicle automation and safety. Additionally, their portfolio includes smart mobility and fleet management solutions, indicating a strong focus on innovative transportation technologies.
Highlighted product
Core business
SkyAutoNet
SkyAutoNet
autobotik
Singapore, Singapore
C
1-10 Employees
2018
Key takeaway
Autobotik specializes in automated driving and offers services that support the development and implementation of self-driving technologies. Their collaboration with resembler.ai provides extensive testing for driving algorithms, enhancing their capabilities in the emerging mobility and transportation market.
Highlighted product
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,...
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
driveBOT
Go to product
Autonomous driving refers to technology that enables vehicles to navigate and operate without human intervention. This innovative technology utilizes a combination of sensors, cameras, and artificial intelligence to perceive the environment, make decisions, and control the vehicle's movements. Advanced algorithms process data from various inputs, allowing vehicles to identify obstacles, follow traffic rules, and safely navigate through complex environments. As a result, autonomous driving aims to enhance road safety, improve traffic efficiency, and provide mobility solutions for various applications, ranging from personal vehicles to public transport systems.
Autonomous driving technology relies on a combination of sensors, software, and algorithms to navigate and control vehicles without human intervention. Vehicles are equipped with a variety of sensors, such as cameras, radar, and LiDAR, which collect data about the surrounding environment. This data is processed in real-time to identify objects, lane markings, traffic signs, and obstacles. The vehicle's onboard computer uses complex algorithms and machine learning models to interpret the sensor data, make driving decisions, and execute maneuvers. These systems are designed to handle various driving scenarios, from highway cruising to urban navigation. Continuous feedback from the environment allows the vehicle to adjust its actions, ensuring safety and efficiency throughout the journey.
1. Improved Safety
Autonomous driving technology significantly reduces the likelihood of accidents caused by human error. Advanced sensors and algorithms enable vehicles to detect obstacles, pedestrians, and other road users, leading to safer driving conditions.
2. Increased Efficiency
Self-driving cars optimize routes and driving patterns, resulting in reduced travel times and lower fuel consumption. This efficiency not only benefits individual drivers but also contributes to decreased traffic congestion overall.
3. Enhanced Accessibility
Autonomous vehicles offer improved mobility for individuals who are unable to drive, such as the elderly or disabled. This technology provides greater independence and access to transportation options for these populations.
4. Environmental Benefits
With optimized driving patterns and potential integration of electric vehicle technology, autonomous driving can lead to lower emissions. This contributes to a more sustainable transportation system, reducing the overall environmental impact.
The development of autonomous driving technology faces several significant challenges. One major issue is the complexity of real-world environments. Autonomous vehicles must navigate a diverse array of scenarios, including unpredictable human behavior, varying weather conditions, and complex traffic situations. This requires advanced sensor systems and algorithms that can process vast amounts of data in real-time. Another challenge lies in regulatory and legal frameworks. Different regions have varying laws regarding the use of autonomous vehicles, creating inconsistencies that can hinder development and deployment. Additionally, liability in the event of accidents remains a contentious issue, complicating insurance and responsibility for manufacturers and operators. Addressing these challenges is crucial for advancing the adoption of autonomous driving technology.
Safety in autonomous driving systems is ensured through a combination of advanced technologies and rigorous testing protocols. Redundant Systems These systems incorporate multiple layers of redundancy, including sensors, cameras, and LIDAR, to continuously monitor the vehicle's surroundings. If one system fails, another can take over, ensuring that the vehicle can operate safely. Real-Time Data Processing Autonomous vehicles utilize powerful algorithms to analyze data in real time. This allows them to make quick decisions based on dynamic environments. Continuous learning from various driving scenarios enhances their ability to navigate complex situations safely. Stringent Testing and Simulation Before deployment, autonomous driving systems undergo extensive testing in controlled environments as well as in real-world conditions. Simulation tools help identify potential safety issues, while data from actual driving experiences is used to refine algorithms and improve system reliability.
Some interesting numbers and facts about your company results for Autonomous Driving
| Country with most fitting companies | Germany |
| Amount of fitting manufacturers | 5324 |
| Amount of suitable service providers | 5285 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1997 |
| Youngest suiting company | 2022 |
20%
40%
60%
80%
Some interesting questions that has been asked about the results you have just received for Autonomous Driving
What are related technologies to Autonomous Driving?
Based on our calculations related technologies to Autonomous Driving are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Autonomous Driving?
Start-Ups who are working in Autonomous Driving are Self Drive News
Which industries are mostly working on Autonomous Driving?
The most represented industries which are working in Autonomous Driving are IT, Software and Services, Other, Automotive, Logistics, Supply Chain and Transportation, Automation
How does ensun find these Autonomous Driving 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.
