FAQ
An autonomy stack for passenger cars consists of layered software components that handle perception, decision-making, planning, and vehicle control. These systems support features ranging from driver assistance—like lane centering, adaptive cruise control, and traffic jam assist—to more advanced capabilities that require limited to no driver intervention. The stack is a critical part of developing and scaling ADAS and autonomy features across modern vehicles.
An end-to-end autonomy approach unifies the key components of an autonomous driving system—like perception, decision-making, and vehicle control—into one cohesive system. This approach feeds raw data from sensors (e.g., cameras, lidar, radar) into a neural network that's processed in a single integrated framework. This streamlines development for manufacturers, reduces system complexity, and improves the efficiency and reliability of the autonomous driving experiences.
For OEMs, E2E autonomy stacks enhance passenger vehicles' autonomous capabilities, increase safety, and ensure robust and reliable development for complex driving conditions, including urban environments and highways.
Yes, SDS for Automotive is designed for flexibility and can be integrated seamlessly with existing vehicle systems. Its modular architecture allows for customization to meet specific operational requirements, and it integrates deeply with vehicle architecture, including Vehicle OS and infotainment, enabling real-time HMI visualization across the stack. SDS for Automotive also integrates seamlessly with Applied Intuition's industry-leading tooling to streamline validation and accelerate development timelines.
SDS for Automotive uses the latest AI and machine learning (ML) technologies to enable human-like autonomy experiences that emulate professional drivers. This is achieved through a full, deep learning-based E2E architecture using the latest production-ready neural network architectures—powered by a scalable data engine that trains ML models on massive amounts of real-world and synthetic data, ensuring safe, precise, and reliable operation in diverse conditions. Applied Intuition's deep technical expertise in AI spans all areas of autonomy technology, from perception to planning and controls, with AI integrated throughout the entire stack.
SDS for Automotive includes a comprehensive L2++ feature set, with a pathway to L3 and L4. Supported features include remote intelligent parking, emergency braking (AEB), advanced urban driving, and highway pilot.
Applied Intuition's automotive autonomy solution includes hands-on support from experts in software, simulation, and vehicle systems, with experience at top OEMs and autonomy programs. With integration expertise proven in real-world deployments across industries including trucking, construction, and defense, we work closely with OEMs to adapt our stack to their platforms, supported by a global engineering team across the U.S., Asia, and Europe.
ADAS technology enhances road safety by using sensors, software, and real-time data to assist with tasks like braking, steering, and monitoring the environment. Features such as automatic emergency braking, lane keeping, and blind spot detection help reduce human error—the leading cause of accidents—and improve driver awareness and reaction time.
