Qiming Gao

Northeastern University, Ningbo University

Papers

Total Citations

H-Index

About

Qiming Gao’s research lies at the intersection of computer vision, robotics, and autonomous systems, with a focus on real-time perception and decision-making. His early work tackled the challenge of binocular stereo matching for robot vision, proposing an optimized SURF algorithm on an embedded CUDA platform to improve portability, speed, and accuracy—a contribution that garnered 7 citations and addressed a critical bottleneck in practical vision systems. More recently, Gao has advanced deep reinforcement learning for autonomous driving, introducing an auxiliary actor discriminator and a state attention network to enhance path planning and obstacle avoidance in unknown dynamic environments. This work, with 4 citations, demonstrates his commitment to enabling flexible, rapid decision-making in complex robotic tasks. By bridging hardware-aware algorithm design with cutting-edge AI techniques, Gao’s research offers practical solutions for real-world deployment, making him a notable contributor to the fields of intelligent robotics and autonomous navigation.