Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning

C Jung, DH Shim - IEEE Robotics and Automation Letters, 2021 - ieeexplore.ieee.org
Autonomous driving in an urban environment with surrounding agents remains challenging.
One of the key challenges is to accurately predict the traversability map that probabilistically …
被引用次数：20 相关文章

Incorporating Multi-Context into the Traversability Map for Urban Autonomous Driving Using Deep Inverse Reinforcement Learning

C Jung, DH Shim - IEEE Robotics and Automation Letters, 2021 - pure.kaist.ac.kr
Autonomous driving in an urban environment with surrounding agents remains challenging.
One of the key challenges is to accurately predict the traversability map that probabilistically …

Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning

C Jung, DH Shim - EEE robotics and automation letters, 2021 - safetylit.org
Autonomous driving in an urban environment with surrounding agents remains challenging.
One of the key challenges is to accurately predict the traversability map that probabilistically …

Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning

C Jung, DH Shim - EEE robotics and automation letters, 2021 - safetylit.org
Autonomous driving in an urban environment with surrounding agents remains challenging.
One of the key challenges is to accurately predict the traversability map that probabilistically …