Bei Jing Qing Nian Bao·2025-07-18 13:21Core Viewpoint - The article highlights the advancements and challenges in the autonomous driving industry, focusing on the roles of professionals like Chen Kexin and Feng Yunchan in training and optimizing the perception systems of self-driving cars, ensuring their safety and efficiency in various environments [5][12][17]. Group 1: Industry Overview - Autonomous vehicles are becoming a common sight in many cities, with companies like Baidu's "Luo Bo Kua Pao" leading the way in testing and deploying these technologies [3][5]. - The total service order volume for Luo Bo Kua Pao has exceeded 11 million, with a total driving distance of over 170 million kilometers, and a reported accident rate that is 1/14 of that of human drivers [17]. Group 2: Role of Professionals - Chen Kexin, as a smart connected vehicle tester, is responsible for training the perception system of autonomous vehicles, which includes collecting diverse data to challenge the vehicle's recognition capabilities in various scenarios [5][6]. - Feng Yunchan, a senior engineer in the autonomous driving quality team, focuses on building platform tools and measuring driving capabilities, emphasizing the iterative nature of their work to meet evolving demands [7][11]. Group 3: Data Collection and Analysis - The collection of extensive datasets is crucial for training the perception models of autonomous vehicles, especially in challenging weather conditions [6][12]. - The quality team must analyze data from different cities to understand unique road network characteristics and driving habits, which informs their testing plans [8][11]. Group 4: Technological Integration - The integration of AI and big data is essential for optimizing the testing processes and enhancing the performance of autonomous vehicles in real-world conditions [12][17]. - Continuous iteration and the development of intelligent analysis tools allow for more efficient data processing and problem identification, significantly improving operational effectiveness [11][15]. Group 5: Future Prospects - The professionals in the industry express a strong belief in the potential of autonomous driving technology to transform transportation, with aspirations for widespread adoption in daily life [19][18]. - The ongoing advancements in technology and data-driven testing are expected to further enhance the safety and reliability of autonomous vehicles, paving the way for their integration into urban environments [16][19].