Technical Paper
Road Information Fusion Perception Strategy Based on Adaptive Sampling of Trajectory and Drivable Area
2024-04-09
2024-01-2041
In the evolving landscape of intelligent vehicular perception, mounting emphasis has been bestowed upon detecting road-based obstacles and entities. Yet, the monitoring of road typology and surface uniformity, pivotal for safeguarding vehicular operations and enhancing driving ambience, remains relatively under-addressed. Accurate real-time assessments of these parameters can significantly augment kinematic vehicle control, bolster braking efficacy, elevate fuel economy, and refine the driving experience, while furnishing robust technical scaffolding for sophisticated automated driving systems. However, current technical approaches are fraught with numerous limitations. Direct image classification or segmenting fixed regions can inadvertently capture non-road entities, introducing erroneous judgments exacerbated by extraneous object interference.