Realtime Technologies SimDriver and SimADAS software allow you to create simulations of a wide range of ADAS and fully automated vehicles. These can then operate in city, freeway, and mixed environments. Researchers can use SimDriver to emulate all levels of driving automation, from single-task systems (e.g., assisted parking, “smart” cruise control, and lane tracking) to fully autonomous vehicles that only require driver intervention during emergencies. Researchers can delve into both the interaction between humans, drivers, pedestrians, passengers, and others and among autonomous vehicles, as well as shared control strategies between car occupants and AI. The content of the SimDriver application covers a wide breadth of scenarios and variables and can provide useful insight into the human factors that will affect vehicle safety. This can accelerate the rate of transportation innovation as human factors research both improves safety and consumer trust.
How will humans and AI's share the road and the wheel?
Today’s most exciting simulation challenges are in autonomous vehicle research and ADAS (advanced driver-assistance systems) simulation. Beyond the many engineering challenges, autonomous and ADAS systems introduce an entire universe of unknowns arising from the complexity and nuance of human-AI interaction (both on the street and in-vehicle).
A central concern for regulators and citizens alike: What impact will increasing levels of ADAS have on the roads-especially in the highly likely future where the “driver” need pay no attention to the vehicle or surroundings for the majority of the drive time, only called to take control in the most critical emergencies? What sort of ergonomics and human factors decisions will need to be made in order to ensure that this new technology maximizes safety for both the passengers and car?
Realtime has a focus on simulation in the transportation industry that includes the simulation of self-driving cars, connected vehicles, and other new technology. Beyond engineering concerns, human factors research will play a crucial role in ensuring the vehicle and human safety in the new era of self-driving cars. SimDriver can enable a research team to perform analysis of their application from a human factors perspective using state-of-the-art simulation as the primary method.
Autonomous and ADAS Vehicle Research
With SimDriver, researchers can:
- Safely test autonomous vehicle programming
- Evaluate human interaction with autonomous vehicles under wildly varying conditions
- Test algorithms used in the programming of the autonomous vehicle
- Evaluate human interaction with automated vehicles in both city and freeway driving environments
- Shorten the design cycle by testing and assessing autonomous vehicle programming with no need for hardware prototypes or a physical driving course
With SimADAS researchers can test SAE levels 1 and 2:
• Adaptive Cruise Control
• Lane-Keeping Assist
• Blind-Spot Monitoring
• Forward Collision Warning
• Traffic Jam Assist
• Cruise Control
• Emergency Braking
• Pedestrian Warning
• Lane Departure Warning
• Sharp Curve Warning
• Speed Limit Warning
Autonomous Vehicle Research and ADAS Simulation Customer-for-Life
We invest time in understanding your research, then work closely with your team to develop and deliver the appropriate ADAS simulation solution. We’ll help you find the best way to integrate this custom solution into your procedures, and support you in maintaining and evolving this solution as your work inevitably changes over time. We don’t sell equipment; we partner with researchers and institutions to develop their ideal autonomous vehicle research tools. As a result, the sophistication of your vehicle evaluation, research and analysis method is taken to the next-level, whether your focus is on fully autonomous driving, human performance, or any other aspect of transportation innovation.
During our partnerships with automotive researchers, we provide self-driving vehicle simulation technology and insight that go beyond the limitations of other providers. Rather that only looking at the specifics of your application or device, Realtime can help measure the cognitive or psychological aspects of passenger experience in driverless cars. Whether you’re part of an academic team at a university, an engineering team at a major automaker, or launching a Silicon Valley start-up, Realtime can provide you with the world-class simulation capability you’ll need to understand the human and behavioral factors of vehicle research.
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Related Software: SimDriver
SimDriver is an autonomous vehicle control solution that allows for the evaluation of human interaction with automated vehicles in both city and freeway driving environments. SimDriver enhances the understanding of this relationship which will be key to ensuring safe autonomous vehicles.