Co‐Pilot Agent for Vehicle/Driver Cooperative and Autonomous Driving

ETRI's Co-Pilot project is aimed at the development of an automated vehicle that cooperates with a driver and interacts with other vehicles on the road while obeying traffic rules without collisions. This paper presents a core block within the Co-Pilot system; the block is named "Co-Pilot agent" and consists of several main modules, such as road map generation, decision-making, and trajectory generation. The road map generation builds road map data to provide enhanced and detailed map data. The decision-making, designed to serve situation assessment and behavior planning, evaluates a collision risk of traffic situations and determines maneuvers to follow a global path as well as to avoid collisions. The trajectory generation generates a trajectory to achieve the given maneuver by the decision-making module. The system is implemented in an open-source robot operating system to provide a reusable, hardware-independent software platform; it is then tested on a closed road with other vehicles in several scenarios similar to real road environments to verify that it works properly for cooperative driving with a driver and automated driving.

[1]  Samyeul Noh,et al.  Independent Object based Situation Awareness for Autonomous Driving in On-Road Environment , 2015 .

[2]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008 .

[3]  Dirk Haehnel,et al.  Junior: The Stanford entry in the Urban Challenge , 2008 .

[4]  Hyung Keun Lee,et al.  Modified RHKF Filter for Improved DR/GPS Navigation against Uncertain Model Dynamics , 2012 .

[5]  Yu-Cheol Lee,et al.  Trajectory generation method using Bézier spiral curves for high-speed on-road autonomous vehicles , 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

[6]  Kwangjin Yang,et al.  Anytime synchronized-biased-greedy rapidly-exploring random tree path planning in two dimensional complex environments , 2011 .

[7]  Samyeul Noh,et al.  Situation assessment and behavior decision for vehicle/driver cooperative driving in highway environments , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[8]  Samyeul Noh,et al.  High-Level Data Fusion Based Probabilistic Situation Assessment for Highly Automated Driving , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[9]  Seong Yun Cho,et al.  Modified Unscented Kalman Filter for a Multirate INS/GPS Integrated Navigation System , 2013 .

[10]  Benoit Vanholme,et al.  Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction , 2010, IEEE Transactions on Intelligent Transportation Systems.

[11]  Michael Fleming,et al.  Team Cornell's Skynet: Robust perception and planning in an urban environment , 2008 .