Overview

Applied Intuition's Off-Road Autonomy Stack is a comprehensive software solution designed to convert traditional off-road vehicles into autonomous machines capable of navigating diverse and complex terrains. This modular system supports a range of applications, from enhancing situational awareness in human-operated vehicles to enabling full autonomy across various environmental conditions. By integrating advanced artificial intelligence and leveraging the latest advancements in autonomy technology, this stack offers transformative improvements for industries operating in off-road environments.

Features and Capabilities

• Modular Architecture: The stack's design allows for flexible integration, enabling users to adopt specific modules tailored to their operational needs, whether for partial automation or full autonomy.
• Terrain Versatility: Engineered to handle a wide range of terrains and weather conditions, ensuring reliable performance in diverse off-road scenarios.
• Advanced Perception Systems: Utilizes cutting-edge AI to provide 360-degree situational awareness, enhancing the vehicle's ability to detect and respond to environmental stimuli.​
• Robust Planning and Control Algorithms: Features sophisticated algorithms that facilitate real-time decision-making and path planning, enabling safe and efficient navigation through complex environments.​
• Seamless Integration with Vehicle OS: Compatible with Applied Intuition's Vehicle OS, supporting third-party integrations and providing a cohesive platform for vehicle software management
• Simulation and Testing Support: Offers tools for secure environment testing and data management, allowing developers to validate and refine autonomy features before deployment.​
• Scalability: Designed to scale across various vehicle types and fleet sizes, accommodating the needs of different industries such as agriculture, mining, and defense.​
• Continuous Updates: Supports over-the-air software updates, ensuring that vehicles remain equipped with the latest advancements and improvements in autonomy technology.