Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments

By H. Darweesh, Eijiro Takeuchi, Kazuya Takeda, Yoshiki Ninomiya, Adi Sujiwo, Luis Yoichi Morales Saiki, Naoki Akai, T. Tomizawa, Shinpei Kato. 2017

74 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Automotive Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Shinpei Kato
2. Kazuya Takeda
3. Alexander Carballo
4. Ekim Yurtsever
5. Zhengxia Zou
6. Jacob Lambert

In Automotive Engineering

1. Jacob Lambert
2. Alexander Carballo
3. Ekim Yurtsever
4. Kazuya Takeda
5. Shinpei Kato
6. Zhengxia Zou

In Computer Vision and Pattern Recognition

1. Ekim Yurtsever
2. Alexander Carballo
3. Jacob Lambert
4. Kazuya Takeda
5. Shinpei Kato
6. Zhengxia Zou

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “We employed OpenPlanner [243], a graph-based planner, here to illustrate a typical planning approach.”
• Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems (2018, methodology): “Available graphsearch algorithms include hybrid-state A* [21], and trajectory generation algorithms [22] such as lattice-based methods [23].”
• Dense reinforcement learning for safety validation of autonomous vehicles (2023, methodology): “To generate the AV’s future trajectory, we applied the OpenPlanner 1.13 54 as the decision module, an advanced planning algorithm including global and local path planning.”