Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning
Yi Xiao,Felipe Codevilla,Diego Porres,Antonio M. López,Yi Xiao,Felipe Codevilla,Diego Porres,Antonio M. López
On end-to-end driving, human driving demonstrations are used to train perception-based driving models by imitation learning. This process is supervised on vehicle signals (e.g., steering angle, acceleration) but does not require extra costly supervision (human labeling of sensor data). As a representative of such vision-based end-to-end driving models, CILRS is commonly used as a baseline to compa...
