Open systems for impossible safety.
Open Aerial Autonomous Safety System (OAASS) is a modular, open-source autonomy framework designed to rethink vehicle safety beyond traditional ground-only constraints. Instead of relying solely on braking, steering, and ground-based evasive maneuvers, OAASS introduces a layered safety architecture that combines advanced perception, predictive intelligence, and emergency aerial escape capability. The system is built to operate transparently under AGPL-3.0+, enabling full auditability and collaborative development of safety-critical mobility technologies.
At its core, OAASS integrates a multi-modal perception system that fuses data from cameras, stereo vision, LiDAR, radar, thermal imaging, and event-based sensors into a unified real-time world model. This allows the system to understand complex environments with high precision, predict object movement, and calculate collision risk in real time. A dedicated safety kernel governs all decision-making, ensuring deterministic overrides and preventing any single AI model from unilaterally controlling critical actions.
When ground-based avoidance is no longer viable, OAASS transitions into its defining feature: the Emergency Aerial Escape System. This subsystem coordinates controlled vertical lift using vectored propulsion, followed by stabilized flight and parafoil-assisted descent into a dynamically identified safe landing zone. Mid-air collision avoidance logic continuously recalculates airspace risk, while infrastructure integration layers coordinate with smart traffic systems and emergency services to clear ground and airspace paths in real time.
Beyond its core safety functions, OAASS is designed as a fully modular ecosystem. It includes infrastructure-aware coordination with smart cities, vehicle-to-everything (V2X) communication, simulation-based digital twin testing, and fleet-wide hazard learning networks. Every component is independently swappable and testable, allowing researchers and developers to improve specific subsystems without compromising overall system integrity. Together, these features define OAASS as a comprehensive, transparent, and extensible platform for next-generation autonomous mobility safety.
This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.

Specification Repository:
- Open Aerial Autonomous Safety System (OAASS) – A modular open-source autonomous mobility safety platform that combines multi-sensor perception, predictive collision avoidance, and emergency aerial escape systems for next-generation ground-to-air vehicle safety.
Specification Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $25,000 | Perpetual License |
| Medium | 21- 1000 | $40,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |

The initial design concept for the Open Aerial Autonomous Safety System (OAASS) was first publicly shared on Facebook on July 14, 2025, as an early-stage exploration of extending autonomous vehicle safety beyond traditional ground-based limitations. At that time, the idea centered on a speculative emergency escape mechanism designed to prevent unavoidable collisions through an alternative aerial trajectory. Since then, the concept has evolved significantly alongside advances in sensor fusion, real-time AI perception systems, and edge-based autonomy computing. What began as a conceptual safety extension has developed into a structured modular architecture incorporating multi-modal vision systems, predictive collision intelligence, and infrastructure-integrated decision-making. The addition of modern robotics frameworks, open-source autonomy stacks, and real-time simulation environments has transformed the original idea into a comprehensive systems-level design focused on transparency, modularity, and collaborative development under an AGPL-3.0+ framework.
