Core Insights - The 2025 Yangtze River Delta (Kunshan) Embodied Intelligence Application Competition marks a significant event in the intelligent connected vehicle industry in China, showcasing advancements in autonomous driving technology [2][7] - Jiushi Intelligent's Z5 model demonstrates its leading capabilities in the field of embodied intelligence, particularly in logistics and urban delivery scenarios [2][6] Technology Advancements - Jiushi Intelligent's Z5 features an innovative modular cargo box, signifying a shift towards customizable urban delivery solutions, while achieving a 30% improvement in driving range and reducing carbon emissions by over a thousand tons annually [3][6] - The vehicle employs dual 3D perception technology, achieving millimeter-level environmental awareness and enhancing safety standards through real-time monitoring [3][6] - The upgraded Jupiter autonomous driving system processes 12 types of complex road conditions with a decision response time of 35ms, four times faster than the industry average, and achieves a perception accuracy of 99.8% in critical areas [5][6] Competitive Edge - Jiushi Intelligent's Z5 competes in the autonomous transportation segment, successfully navigating complex environments with advanced mapping, dynamic path planning, and obstacle avoidance capabilities [4][6] - The vehicle's hardware features a modular design, contributing to superior testing performance and adaptability in various weather conditions [5][6] Industry Impact - The competition highlights a transformative phase in the intelligent connected vehicle industry, driven by data accumulation from over ten million kilometers of operational data across more than 200 cities [6][7] - Jiushi Intelligent's focus on efficient logistics through autonomous vehicles addresses challenges such as fatigue driving and adverse weather, enhancing delivery speed and reducing delays [6][7] - The company's commitment to green logistics aligns with global sustainability goals, contributing to carbon reduction efforts and meeting the demand for environmentally friendly transportation solutions [6][7]
与九识无人车共赴智能未来