Project DART: The Drone That Can Land on a Car Moving at 110 km/h

 The Challenge of Moving‐Vehicle Drone Landings

One of the toughest problems in drone engineering is not getting into the air, but bringing the drone safely back down—especially when the landing surface itself is moving at high speed. Conventional multirotor drones struggle with sudden forces, misalignment, and risk of bouncing off a roof or flipping when attempting to land on a vehicle in motion.

Typical rigid landing legs and fixed approaches break down if a car is going more than 20–50 km/h, because aerodynamic drag, pitch angle, and timing errors compound dangerously.

Recognizing these limits, a team at Createk Engineering Lab, Université de Sherbrooke (Canada), has developed Project DART (Direct Approach Rapid Touchdown), a system designed to broaden that "landing envelope" and enable safe high-speed vehicle landings.

How DART Works: Key Innovations

Project DART combines three clever mechanisms:

1. Fast vertical dive
   Rather than creeping slowly, DART dives toward the vehicle at speed (up to ~4 m/s). A rapid descent helps the drone overcome wind disturbances and reduces the relative error in tracking.
2. Friction shock absorbers built into landing legs
   The shock absorbers dissipate kinetic energy without rebound (i.e. bouncing). They dampen the impact when making contact with the vehicle roof.
3. Reverse thrust at contact
   At the moment of touchdown, the drone's motors briefly reverse thrust downward, pressing its legs into the vehicle surface to resist sliding. This counteracts drag and keeps the drone anchored.

Additionally, DART pitches itself forward mid-flight to counter aerodynamic drag, then levels just before touchdown to ensure all four legs make proper contact and avoid propeller collisions.

Testing & Performance

In controlled road tests, the team mounted a horizontal platform on the back of a pickup truck and attempted landings at high speeds. Remarkably, in 38 attempts at 110 km/h, DART succeeded every time.

While earlier systems typically only succeeded at much lower speeds, DART's approach greatly expands the allowable speeds and tolerance to disturbances like wind gusts or slight vehicle trajectory deviations.

Simulations also show that DART retains an ~80 % success rate at vehicle speeds up to 100 km/h, a promising statistic for practical deployment.

Why It Matters: Applications & Implications

Project DART is more than a stunt — it opens up new possibilities in several fields:

• Logistics & Delivery: A drone might rendezvous with a moving truck on a highway and transfer payloads without requiring the truck to stop or deviate.
• Search & Rescue / Emergency Response: In rapidly changing or rough terrain, drones could land on moving emergency vehicles to reload supplies, swap sensors, or share data in transit.
• Military & Reconnaissance: Drones could land back on mobile bases or vehicles during missions without needing to return to fixed ground stations.
• Energy Efficiency: Drones could "hitch a ride" by landing on vehicles heading the same direction, reducing flight time and battery consumption.

Beyond these, the techniques behind DART — shock absorption, reverse thrust, rapid descent — might inspire other autonomous systems designed to dock or land under dynamic conditions.

Challenges & Next Steps

While promising, Project DART still faces hurdles before widespread adoption:

• Real-world robustness: Road environments are often more chaotic than test tracks — potholes, sudden swerves, terrain grade changes, crosswinds, and unsteady surfaces will stress the system.
• Scaling: The current prototype is relatively small (~2.4 kg) and limited in payload. Scaling up to heavier drones or integrating with larger systems will require further design improvements.
• Regulation & safety: Operating drones that land on moving vehicles in public roadways will demand careful regulation, collision avoidance, and fail-safe mechanisms.
• Vehicle compatibility: Different shapes, roof materials, angles, or accessories on vehicles may complicate landing effectiveness across a wide range of automotive platforms.

The research team suggests future work may involve adapting to variable roof geometries, testing in harsher weather, and integrating more sophisticated sensors to predict vehicle motions more accurately.

Conclusion

Project DART represents a significant step forward in autonomous drone mobility: the ability not just to fly, but to land on moving platforms with high reliability. By combining fast descent, friction damping, and reverse thrust, it pushes past prior speed limits and opens doors to new use cases in delivery, rescue, and mobile robotics.

As with any frontier technology, rigorous testing and engineering challenges remain. But if matured, the idea of drones landing on cars or trucks in motion may soon shift from novelty to everyday tool.