From ADAS to Autonomous Driving
Virtual Twin Experience with Massive Simulation on the Cloud and Real-World Feedback Loop
What are Challenges of Advanced Driver-Assistance Systems?
Features like autonomous emergency braking, lane departure warning or traffic jam chauffeur are key to the evolution of the Software-Defined Vehicle. ADAS functions use a fusion of data from strategically placed onboard sensors to provide appropriate alerts or, in an emergency, take control of the vehicle. Extensive virtual and real-world testing is essential to ensure the system meets stringent regulations and safety standards across different markets.
Simplifying Software-Defined Vehicle Development
Efficiency is essential, but many automakers and their suppliers struggle with multiple appropriate tools and system discontinuity. They need tools covering the entire ADAS lifecycle to streamline development, accelerate time to market, and reduce costs for systems engineering, simulation, verification, and validation activities. To overcome these challenges, car-makers must minimize physical testing and ensure end-to-end traceability across system, hardware, E/E, and software development layers. A Model-Based Systems Engineering (MBSE) approach, integrating a robust Verification and validation (V&V) strategy with massive cloud-based simulation, helps simplify the development of complex Software-Defined Vehicle systems.
Accelerate ADAS-AD Development with CATIA SCANeR
Benefit from Massive Simulation on the Cloud and a Real-World Feedback Loop. Versatile operability allows testing in various loops, ensuring comprehensive coverage. Evolve with the ADAS-AD Digital Continuity Platform, enabling detailed vehicle modeling and rapid virtual testing. Experience an end-to-end solution with real data capture and simulation for validation. The ADAS-AD Digital Continuity and Collaboration Platform allows manufacturers and suppliers to create detailed models of the vehicles and rapidly test them in multiple virtual scenarios. This end-to-end portfolio provides a common working environment for everyone in the ADAS lifecycle. It delivers an ADAS Virtual Twin experience using real data capture and simulation for test and validation.
Start Your Journey
The world of Software Defined Experiences is changing. Discover how to stay a step ahead with CATIA
FAQ about ADAS Technology & Automotive
ADAS, or Advanced Driver-Assistance Systems, are technologies in vehicles that improve safety and ease driving tasks. They automate functions like braking, lane keeping, and cruise control, and are critical in developing autonomous driving. ADAS helps vehicles perceive their environment and make decisions but still require human oversight. They serve as foundational technologies for fully autonomous vehicles, which operate with minimal to no human intervention.
ADAS often uses artificial intelligence (AI) to process data from vehicle sensors and make real-time decisions, improving safety features like emergency braking and adaptive cruise control. AI helps these systems learn and adapt, enhancing their effectiveness over time.
The progression from ADAS to fully autonomous vehicles can be categorized into levels as defined by the Society of Automotive Engineers (SAE):
- Levels 0 to 2 involve various degrees of driver assistance and partial automation but require the driver to remain engaged with the driving task.
- Level 3 (Conditional Automation) allows the driver to disengage from some tasks under certain conditions.
- Levels 4 and 5 (High and Full Automation) enable high levels of vehicle autonomy in defined (Level 4) or all (Level 5) driving scenarios, aiming to eliminate the need for a driver.
The main difference between autonomous mobility and ADAS (Advanced Driver-Assistance Systems) technology lies in features, the level of vehicle autonomy and driver involvement:
| ADAS | Autonomous Mobility |
| Purpose | ADAS is designed to enhance vehicle safety and driving comfort by assisting the driver through features like emergency braking, lane keeping, and adaptive cruise control. | Autonomous mobility refers to fully self-driving vehicles designed to operate without human intervention, encompassing a broader scope that includes personal cars, public transport, and delivery services. |
| Driver improvement | ADAS systems require active driver supervision and do not replace the driver. They provide support in specific driving tasks but the driver remains responsible for the vehicle. | These vehicles aim to eliminate the need for a driver, using advanced systems that can handle all aspects of driving in most or all environments. |
| Level of autonomy | Typically corresponds to Level 0 to Level 2 on the SAE scale of autonomous driving, where the driver is expected to be fully engaged and ready to take control at any time. | Corresponds to Level 4 or Level 5 on the SAE scale. Level 4 vehicles can operate independently in specific conditions or areas without human input, while Level 5 vehicles can drive autonomously under all conditions. |
Also Discover
Learn What CATIA Can Do for You
Speak with a CATIA expert to learn how our solutions enable seamless collaboration and sustainable innovation at organizations of every size.
Get Started
Courses and classes are available for students, academia, professionals and companies. Find the right CATIA training for you.
Get Help
Find information on software & hardware certification, software downloads, user documentation, support contact and services offering