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This research paper proposes a simulation framework using deep reinforcement learning for controlling connected and automated vehicle platoon joining in mixed traffic, showing that PPO achieves high success rates while highlighting trade-offs between safety and efficiency.
Sawyer Merritt shares a video clip from a follower showing a Tesla avoiding a collision on the highway while using FSD V14, with multiple angles and self-driving data displayed.
A tweet highlights Tesla's Full Self-Driving system, claiming it is trained on billions of miles of real-world driving data and sharing a clip of it avoiding a collision.
This paper introduces a permutation-equivariant neural operator that maps spacecraft, target, and debris distributions to collision-aware trajectories for entire swarms in one forward pass, trained with self-supervised physics objectives and adversarial threats. It generalizes zero-shot from 10 to 1,000 spacecraft amid dense debris, matching optimal-control accuracy while reducing proximity.
Mykel wrote the algorithms behind ACAS X, the collision avoidance system for planes, highlighting that AI-enabled split-second decisions have been trusted in aviation for years.
A Tesla FSD Supervised system in Copenhagen avoids a collision, as reported by a user on X.
A developer built a 6-agent AI system for satellite collision avoidance in 4 days for a hackathon, sharing lessons learned.
Tesla touts FSD's ability to detect and avoid a side-swipe collision, claiming it surpasses human drivers in situational awareness.