Cainiao Develops Industry-First High-Performance, Large-Scale Reinforcement Learning Planner for Autonomous Driving, Gaining International Recognition

Cainiao Develops Industry-First High-Performance, Large-Scale Reinforcement Learning Planner for Autonomous Driving, Gaining International RecognitionOn March 5th, Cainiao Network announced the development of CarPlanner, the industry's first high-performance, large-scale reinforcement learning planner for autonomous driving, accepted for presentation at CVPR 2025, a top international academic conference. This breakthrough showcases Cainiao's continued innovation and technological leadership in autonomous driving, enhancing its unmanned vehicles' ability to handle complex scenarios and providing new directions for future development in the field

Cainiao Develops Industry-First High-Performance, Large-Scale Reinforcement Learning Planner for Autonomous Driving, Gaining International Recognition

On March 5th, Cainiao Network announced the development of CarPlanner, the industry's first high-performance, large-scale reinforcement learning planner for autonomous driving, accepted for presentation at CVPR 2025, a top international academic conference. This breakthrough showcases Cainiao's continued innovation and technological leadership in autonomous driving, enhancing its unmanned vehicles' ability to handle complex scenarios and providing new directions for future development in the field.

Jointly developed by Zhejiang University and Cainiao's autonomous vehicle technology team, CarPlanner (Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving) successfully addresses the long-standing issues of inefficiency and inadequate performance in reinforcement learning-based trajectory planning. CarPlanner's core lies in its consistent autoregressive planning mechanism, enabling efficient generation of high-quality trajectories in complex and dynamic environments. Unlike traditional imitation learning and rule-based approaches, CarPlanner leverages the strengths of reinforcement learning, continuously optimizing its decision-making abilities through extensive learning and iteration, resulting in greater adaptability and reliability in handling unexpected events and complex road conditions.

This research is validated on the challenging real-world large-scale dataset nuPlan, demonstrating for the first time that a reinforcement learning-based planner can outperform traditional imitation learning and rule-based methods. Known for its high precision and complexity, nuPlan encompasses diverse complex traffic scenarios and extreme weather conditions, demanding high robustness and generalization capabilities from algorithms. CarPlanner's excellent performance on nuPlan fully demonstrates its potential for real-world applications. This is not only a significant demonstration of Cainiao's technological strength but also provides valuable experience and technological insights for the entire autonomous driving industry.

"Our well-known DeepSeek R1 version, which utilizes reinforcement learning, has garnered significant attention and demonstrated excellent performance in reasoning capabilities," said a Cainiao technology specialist. The success of DeepSeek R1 laid a solid foundation for the development of CarPlanner and further confirms the feasibility and immense potential of reinforcement learning in autonomous driving. Trajectory planning is a core technology in autonomous driving, directly impacting vehicle safety and efficiency. By developing the reinforcement learning-based planner CarPlanner, Cainiao further enhances its unmanned vehicles' trajectory planning capabilities, enabling safer and more efficient navigation of complex traffic scenarios, significantly improving the safety and reliability of autonomous driving.

Beyond CarPlanner, Cainiao's autonomous vehicle technology team, in collaboration with Nanyang Technological University, Singapore, developed a novel end-to-end autonomous driving system, PAD (Planner-Actuator-Driver). This system generates high-quality planned trajectories, effectively improving the efficiency and safety of autonomous vehicles. This innovative achievement secured first place in NAVSIM, a globally renowned autonomous driving simulation and evaluation platform. NAVSIM, developed collaboratively by universities from China, the US, Germany, Canada, Singapore, and international companies like NVIDIA and Bosch, is undeniably authoritative and impartial. Cainiao's leading position on NAVSIM further confirms its technological prowess and leading edge in autonomous driving.

Cainiao is actively advancing the commercialization and internationalization of its logistics technology. Cainiao's L4-level autonomous vehicles are now commercially available nationwide and operating in over 30 districts and counties, marking the transition of Cainiao's autonomous driving technology from the laboratory to real-world applications, creating societal value. Simultaneously, Cainiao's automation and digitalization projects have been implemented in over 600 locations across 28 countries globally, demonstrating its significant influence in the global logistics sector.

The successful development of CarPlanner and the victory on the NAVSIM platform fully demonstrate Cainiao's technological accumulation and innovative capabilities in autonomous driving. This is not only an affirmation of Cainiao's technical strength but also injects new vitality into the development of the entire autonomous driving industry. Cainiao will continue to drive innovation and development in autonomous driving technology to contribute to a safer, more efficient, and more intelligent logistics system. We can expect further breakthroughs from Cainiao in autonomous driving, bringing more transformative changes to the global logistics industry. The emergence of CarPlanner is undoubtedly a significant milestone in the development of autonomous driving technology, marking a major advancement in reinforcement learning for trajectory planning and laying a solid foundation for the further development of future autonomous driving technologies. Cainiao's continued efforts and innovations set a benchmark for the global autonomous driving industry, driving the entire industry towards safer, more reliable, and more intelligent development. Predictably, with technological advancements and wider application, autonomous driving technology will transform our lifestyles in the future, and Cainiao, as a pioneer in this field, will continue to play a vital role. Cainiao's success also encourages other companies and research institutions to increase R&D investment, jointly promoting the rapid development of autonomous driving technology and ultimately achieving the widespread application of driverless vehicles for the benefit of all mankind. This is not only Cainiao's success but also a reflection of the collective progress of the entire autonomous driving industry. We look forward to Cainiao bringing us more exciting innovative achievements in the future.

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