DriveU7 abandons waypoint-based planning in favor of . Rather than predicting discrete points, the system predicts a continuous velocity vector field. This results in smoother control inputs and better handling of high-dynamic maneuvers (e.g., emergency braking or swerve-to-avoid).
For in the end, it's not the years that we live, but the life that we live in those years. And if we live it with intention, with courage, and with heart, then even in the face of impermanence, our existence will have been a work of art. driveu7
The DriveU7 architecture consists of four integrated subsystems: The Sensory Fabric, The Hyper-Graph Reasoner, The Predictive World Model, and The Safety Critic. DriveU7 abandons waypoint-based planning in favor of
We introduced adversarial scenarios: pedestrians jumping out from behind trucks, sudden loss of friction due to oil spills, and traffic rule violations by other agents. For in the end, it's not the years
To validate DriveU7, we conducted tests in two distinct environments: the CARLA simulator (Town05, dense traffic) and real-world closed-course testing.