New AI systems like ChatGPT can enable driverless cars to reason more humanly, addressing challenges that traditional engineering methods struggle with.
Deep neural networks process data inspired by the human brain, allowing for the detection of critical elements like obstacles by computing 3D boxes for sizes, orientations, and positions.
The 'sense-think-act' approach in autonomous driving processes sensor data, predicts obstacle trajectories, and plans actions, yet differs fundamentally from human brain mechanisms behind driving.
Research explores mimicking brain functions for autonomous driving, aiming to bridge the gap between current engineering methods and human cognitive processes.
Collection
[
|
...
]