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Espoo, Finland
51-100 Employees
2017
Founded in 2017, Sensible 4 is a deep-tech start-up that develops pioneering vehicle automation solutions for the most demanding environments and conditions. Our story started on the open roads, where we have a history of successful deployments around the world. Our journey has taken us to the industrial environment where we are applying our experience and expertise to automate mass-produced trucks with our DAWN™ automated driving software platform. We have solved one of the biggest problems in autonomous driving — the issue of bad weather. Our innovation uses a unique probabilistic approach that enables vehicles to drive in varying weather conditions — unlike any other company in the space.
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DAWN™ – Autonomous Driving Software Platform
... Sensible 4 DAWN™ - Autonomous Driving Software for ...
Mountain View, United States
101-250 Employees
2017
Founded in 2017, Ghost is pioneering a new approach to self-driving designed for safety, scale, and ultimately freedom. Linear programming and robotics dominated the last two decades but have yet to deliver on the promise of safe self-driving for consumer vehicles.We are creating a new driving platform and development process based on software and the latest in artificial intelligence to bring attention-free driving to life. John is founder and CEO of Ghost Autonomy, a software company that delivers autonomous driving technology for consumer cars. Ghost partners with auto manufacturers to realize the software-defined car, accelerate advanced autonomy, develop AI-based features, and build personalized, subscription-based driving experiences. Prior to Ghost, John founded Pure Storage, taking the company public (PSTG) in 2015. Justin has a track record of launching successful zero-to-one products within complex technical domains across both startups and large companies. Jackie served as the chief counsel and acting administrator of the National Highway Traffic Safety Administration from 2002 to 2006. Prior to joining Pure, Kix was vice president of software product management at Symantec.
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Self-Driving for Everyone | Ghost
... Ghost makes autonomous driving software for the next generation of consumer cars. ...
Helsinki, Finland
1-10 Employees
2019
From the Californian sun, to the rising one, we’re an interdisciplinary Nordic team of founders, engineers, and financial experts – devoted to helping founders scale globally. During Slush Helsinki we hosted an interesting talk about how entrepreneurship thrives in crisis and what actions are taken to support new innovation, especially deep tech. A delegation of over 100 Japanese attended the world’s largest startup-investor event, Slush Helsinki. The five main points rocketing the negotiation technology pioneer – by Marek Kiisa. We’ll only send you email when we have something meaningful to say, with startup inspired highlights from the Nordics, Baltics, and Japan. 📫.
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Sensible 4 - NordicNinja VC
... Sensible 4 develops a full-stack autonomous driving software (AD-Kit) that turns any vehicle into self-driving and allows it to operate in any weather ...
London, United Kingdom
101-250 Employees
2017
A new way to solve self-driving with artificial intelligence. Training, evaluating and deploying foundation models for autonomy. Our world-class partners enable us to take the fastest route to a safe and scalable AI Driver. Bringing the future of autonomous delivery to customers today. Accelerating the way we build and scale AV2.0.
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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 ...
Lake Forest, United States
11-50 Employees
2019
Advantabuy LLC was Founded in 2019 as a subsidiary company of Acuinsight Inc., specializing in the Automotive Parts & Accessories Industry since 1958.Advantabuy LLC is founded to meet the increasing demand for sensor products for the automotive Industry.Advantabuy is the supplier of electronic components such as Lidar,millimeter-wave radar, and other sensor products in the U.S.Advantabuy is dedicated to providing our customers the right product that best suits their needs.Advantabuy LLC, Robosense's North American distributor, helps bring Robosense’s Lidar and its solution to U.S customers, also provides both pre and after-sell service of Robosense’s Lidar products. At Advantabuy LLC, we're at the forefront of technological innovation, specializing in lidar and robotic solutions. Our vision is to expand our horizons and venture into the renewable energy domain, offering groundbreaking solutions that marry our technological proficiency with the urgent need for sustainable power sources. Advantabuy LLC is dedicated to addressing environmental challenges head-on. Advantabuy LLC invites you to join us on this exciting journey towards a more sustainable world. Discover the Advantabuy difference — where technology meets sustainability for a brighter and cleaner tomorrow. With a rich history of excellence and a commitment to pushing boundaries, we are excited to embark on a new journey towards sustainable energy solutions. As the world shifts towards greener alternatives, we are harnessing our expertise to pioneer a new era in renewable energy.
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RS-P1 Medium and Low Speed Perception System – AdvantaBuy LLC
... Mature and Reliable LiDAR Perception Solution for Medium-and-low-speed Autonomous Driving Perception Software Box Plug-and-Play The eye-catching highlight of the P1 solution is the RS-Cube 2.0 with built-in LiDAR Perception Software, which can quickly activate with just a push of a ...
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QNX Advanced Driver Assistance System (ADAS) Software | BlackBerry QNX
... The QNX ADAS Platform enables advanced driver assistance systems and autonomous driving through software. Learn more. ...
Bernau am Chiemsee, Germany
1-10 Employees
2014
We are a not-for-profit organisation which was established in 1983. NAFEMS strives to continually evolve the ways in which it operates and to constantly improve the extent to which it fulfils the primary aims that are listed above. NAFEMS, the only dedicated International Association for the Engineering Modelling, Analysis & Simulation Community, is a not-for-profit organisation established in 1983 which focuses on the practical application of numerical engineering simulation techniques such as the Finite Element Method for Structural Analysis (FEA), Computational Fluid Dynamics (CFD) & Multibody Simulation. NAFEMS has a long history of providing training courses, webinars, seminars, conferences & online publications that are individually tailored to offer engineers of all skill levels the right tools to improve their professional status. We focus on the practical application of numerical engineering simulation techniques such the Finite Element Method for Structural Analysis, Computational Fluid Dynamics, and Multibody Simulation. In addition to end users from all industry sectors, our stakeholders include technology providers, researchers and academics. Stay up to date with our technology updates, events, special offers, news, publications and training. If you work with engineering simulation, you should be a part of NAFEMS.
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NAFEMS - Partnership aims to make autonomous driving more realistic
... Partnership aims to make autonomous driving more realistic Simulation software provider dSPACE is working together cogniBIT to integrate its AI-based driver model, to ...
Singapore
1-10 Employees
2021
Looking for a trusted partner to implement your ideas?
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About Us - Me Tech
... Impact of autonomous driving software on ...
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Kanban EV | Play Board Games
... They are computerized machines that use AI to improve safety and in the near future will provide autonomous driving. They receive software upgrades during their lifetime and are constantly improving, unlike their traditional combustion-engine counterparts, which start to become ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Autonomous Driving Software
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7 |
| Amount of suitable service providers | 4 |
| Average amount of employees | 51-100 |
| Oldest suiting company | 1980 |
| Youngest suiting company | 2021 |
Autonomous driving software refers to a complex suite of algorithms and codebases designed to equip vehicles with the capability to navigate and operate without human intervention. Central to its architecture are advanced machine learning models, sensor fusion systems, and decision-making mechanisms that enable real-time processing of environmental data. This data, collected through an array of onboard sensors like LIDAR, radar, cameras, and GPS, is crucial for the precise mapping of surroundings, obstacle detection, and the execution of navigational tasks. The software's role extends beyond mere vehicle control; it integrates with traffic systems, adapts to dynamic driving conditions, and ensures safety protocols are met, thereby revolutionizing transportation. By reducing human error, which accounts for a significant portion of road incidents, it promises to enhance road safety markedly. Moreover, autonomous driving software is pivotal in the push towards reducing traffic congestion and lowering emissions, as it optimizes routes and improves fuel efficiency through smooth driving patterns. Its impact is not limited to personal transportation but extends to logistics and delivery services, where it can streamline operations and reduce costs. As this technology advances, it is poised to redefine mobility, making it safer, more efficient, and accessible, thereby marking a significant leap forward in the field of automotive technology.
1. Safety Enhancements
Autonomous driving software significantly reduces the risk of accidents caused by human error, such as distractions or impaired driving. By relying on advanced sensors and algorithms, these systems can react more quickly and accurately to avoid potential hazards on the road.
2. Increased Efficiency
Traffic flow improves with the use of autonomous driving technology. These systems can optimize routes, reduce traffic congestion, and maintain consistent speeds, leading to more efficient travel and lower fuel consumption.
3. Accessibility
This technology offers greater mobility for individuals who are unable to drive, such as the elderly or those with certain disabilities. Autonomous vehicles can provide a new level of independence, making it easier for more people to travel without relying on public transport or the assistance of others.
4. Time Savings
By automating the driving process, individuals can reclaim time spent behind the wheel. This allows passengers to focus on other activities, such as work or relaxation, turning travel time into productive or restful periods.
While evaluating the different suppliers make sure to check the following criteria:
1. Software Compatibility
Ensure the software is compatible with your vehicle's hardware and other integrated systems, allowing for seamless functionality and updates.
2. Safety Certifications
Look for suppliers with industry-standard safety certifications, such as ISO 26262, to ensure the software meets the highest safety requirements.
3. Real-time Data Processing
The ability of the software to process and analyze data in real-time is crucial for autonomous driving decisions and actions.
4. Scalability
Check if the software can be scaled to different levels of autonomy and is adaptable to various vehicle models or types.
5. Customer Support and Maintenance
Evaluate the supplier's commitment to ongoing support, maintenance, and updates to the software, ensuring its long-term viability and performance.
6. Security Features
Ensure the software includes robust security measures to protect against cyber threats and safeguard vehicle data.
7. Testimonials and Case Studies
Review testimonials and case studies from other clients to assess the supplier's track record in delivering effective autonomous driving solutions.
Autonomous driving software is revolutionizing the logistics and supply chain industry by enhancing efficiency and safety in freight transportation. Companies are integrating this technology to automate long-haul trucking, reducing human error and optimizing routes for quicker delivery times. This automation not only cuts down on operational costs but also allows for 24/7 transportation capabilities, which is crucial for meeting the increasing demands of global trade. In the realm of public transportation, autonomous driving software is being deployed to develop self-driving buses and taxis. This application aims to improve urban mobility by offering safer, more reliable, and cost-effective transportation options. By reducing the reliance on human drivers, municipalities can offer more consistent service levels, especially during off-peak hours, thereby enhancing the public transport experience for commuters while potentially reducing traffic congestion. The agricultural sector also benefits significantly from autonomous driving technology. Farms are utilizing self-driving tractors and harvesters to increase precision and efficiency in planting, cultivating, and harvesting crops. This automation allows for operations to continue around the clock, optimizing crop yields and reducing the need for manual labor. Autonomous driving software in agriculture not only maximizes productivity but also contributes to more sustainable farming practices by minimizing waste and optimizing resource use.
As of 2023, autonomous driving software is predominantly classified at Technology Readiness Level (TRL) 5 to 7, varying based on the specific features and capabilities being developed. This range indicates that the technology has progressed from laboratory testing (TRL 4) to demonstration in relevant environments (TRL 5-6) and, in some cases, to prototype demonstration in operational environments (TRL 7). The reason for this positioning is multifaceted, rooted in both the software's complexity and the challenges of real-world application. Autonomous driving software must process vast amounts of data from sensors and cameras in real-time, necessitating advanced algorithms for machine learning, object detection, and decision-making under uncertainty. While significant advancements have been made, ensuring reliability and safety in all possible driving conditions—such as adverse weather or unpredictable urban settings—remains a technical hurdle. Additionally, integration with existing traffic infrastructure and the need for regulatory approval present further challenges. Despite these obstacles, continuous improvements in computational power, sensor technology, and machine learning models are pushing the software closer to full autonomy, signaling a gradual transition towards higher TRLs in the near future.
In the Short-Term, advancements in autonomous driving software will focus on improving sensor integration and real-time data processing. Enhanced algorithms for object detection and decision-making will lead to better safety features and navigation in complex urban environments. These improvements will enable Level 3 autonomy, where cars can handle most driving tasks but still require human oversight. The Mid-Term phase will witness significant progress in machine learning models, making autonomous systems more adaptive to unpredictable scenarios. Integration with smart city infrastructures, like traffic signal and hazard alert systems, will facilitate smoother, more efficient urban mobility. This period will mark the transition to Level 4 autonomy, where vehicles can operate independently in designated areas without human intervention. Looking into the Long-Term, autonomous driving software will achieve full Level 5 autonomy, enabling vehicles to navigate all environments and conditions without any human input. Breakthroughs in artificial intelligence will allow cars to predict and react to potential hazards faster than human drivers. Additionally, widespread vehicle-to-vehicle and vehicle-to-infrastructure communication will optimize traffic flow and reduce congestion, transforming the overall transportation landscape.
