List of our studies related to autonomous driving
Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, and Songhwai Oh, "RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022. [code]
Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, and Songhwai Oh, "Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022. [paper][dataset]
Yunho Choi, Kyungjae Lee, and Songhwai Oh, "Distributional Deep Reinforcement Learning with a Mixture of Gaussians," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May. 2019. [paper][code]
Kyunghoon Cho, Timothy Ha, Gunmin Lee, and Songhwai Oh, "Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019. [paper][code]
Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Prespective Model
Kyungdo Kim, Yoon Kyung Lee, Hyemin Ahn, Sowon Hahn, and Songhwai Oh, "Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020. [paper][code]