[HTML][HTML] An optimized trajectory planner and motion controller framework for autonomous driving in unstructured environments
L Xiong, Z Fu, D Zeng, B Leng - Sensors, 2021 - mdpi.com
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments.
L Xiong, Z Fu, D Zeng, B Leng - Sensors (Basel, Switzerland), 2021 - europepmc.org
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
[引用][C] An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
L Xiong, Z Fu, D Zeng, B Leng - Sensors, 2021 - ui.adsabs.harvard.edu
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in
Unstructured Environments - NASA/ADS Now on home page ads icon ads Enable full ADS view …
Unstructured Environments - NASA/ADS Now on home page ads icon ads Enable full ADS view …
[PDF][PDF] An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
L Xiong, Z Fu, D Zeng, B Leng - Sensors, 2021 - pdfs.semanticscholar.org
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
L Xiong, Z Fu, D Zeng, B Leng - Sensors (Basel …, 2021 - pubmed.ncbi.nlm.nih.gov
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments.
L Xiong, Z Fu, D Zeng, B Leng - Sensors (14248220), 2021 - search.ebscohost.com
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
[HTML][HTML] An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
L Xiong, Z Fu, D Zeng, B Leng - Sensors (Basel, Switzerland), 2021 - ncbi.nlm.nih.gov
This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …
aim to deal with obstacle avoidance along a reference road for autonomous driving in …