A Unified Transformer-Based Approach to Multi-View, Spatiotemporal, and Linguistic Representations for Autonomous Driving
Modern autonomous driving perception faces extreme data volume and semantic depth complexity. Such systems must integrate multi-camera image streams into a stable three-dimensional world model, align observations over time to handle dynamic scenarios.