Recent advancements in end-to-end autonomous driving using deep learning: A survey
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …
modular systems, such as their overwhelming complexity and propensity for error …
End-to-End Autonomous Driving in CARLA: A Survey
Y Al Ozaibi, MD Hina, A Ramdane-Cherif - IEEE Access, 2024 - ieeexplore.ieee.org
Autonomous Driving (AD) has evolved significantly since its beginnings in the 1980s, with
continuous advancements driven by both industry and academia. Traditional AD systems …
continuous advancements driven by both industry and academia. Traditional AD systems …
Integrating Modular Pipelines with End-to-End Learning: A Hybrid Approach for Robust and Reliable Autonomous Driving Systems
Autonomous driving navigation relies on diverse approaches, each with advantages and
limitations depending on various factors. For HD maps, modular systems excel, while end-to …
limitations depending on various factors. For HD maps, modular systems excel, while end-to …