Evolution of Driving Styles of Driving Agent for Automated Control of Scale Car
| Project/Area Number |
20500218
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Sensitivity informatics/Soft computing
|
|---|
| Research Institution | Doshisha University |
|---|
Principal Investigator |
TANEV Ivan Doshisha University, 理工学部, 准教授 (30388045)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SHIMOHARA Katsunori 同志社大学, 理工学部, 教授 (10395105)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
|---|
| Keywords | ドライビング・エージェント / 進化的アルゴリズム / 遺伝的アルゴリズム / ドライビング・スタイル / 拡張現実 / 予測追跡 / コンピュータ制御 / 動きの視差 / 衝突回避 / 実時間の位置特定と空間マッピング |
|---|
| Research Abstract |
In this project we developed an evolutionary approach to evolve the driving style of driving agent. The agent automatically controls a scale car. Also, we developed an nature-inspired approach for real-time localization and mapping of obstacle. Finally, we developed an augmented reality framework in order to simulate the obstacle and solve the problems of dealing with real obstacles. These problems are physical damage to the car and obstacle, slow repositioning, and mechanical wear of the components of moving real obstacle.
|
Report
(4 results)
Research Products
(23 results)
