Yanlin Jin | smart car | Best Scholar Award

Mr. Yanlin Jin | smart car | Best Scholar Award

Mr. Chongqing University, China

Since September 2020, the individual has been pursuing a Ph.D. in Mechanical Engineering at Chongqing University’s School of Mechanical and Vehicle Engineering, ranking in the top 10% of their class and earning multiple honors, including the Chongqing University Graduate Scholarship. They previously completed their undergraduate studies in Energy and Power Engineering at Chang’an University, achieving top rankings and numerous accolades. Their research spans intelligent vehicle behavior, including reinforcement learning and motion planning. They have contributed to significant projects such as autonomous vehicle control and intelligent trajectory optimization, with several patents and awards in robotics and vehicle competitions.

 

Professional Profiles:

Scopus

Educational Background 🎓

Chongqing University School of Mechanical and Vehicle Engineering/National Key Laboratory of Mechanical Transmission (PhD student/recommended admission)Mechanical Engineering
September 2020 – PresentAcademics: Top 10% of major ranking (5/60)Honors and Awards: Chongqing University Graduate Scholarship, Chongqing University Outstanding Graduate Student Cadre, Chongqing University Outstanding Communist Youth League Member*2Chang’an University School of Automotive Engineering (Undergraduate)Energy and Power Engineering
September 2016 – June 2020Academics: Comprehensive evaluation ranked first in the major for three consecutive years (1/95), obtained qualification for guaranteed admissionHonors and Awards:100 Outstanding Students with Aspirations (Ministry of Education)National Scholarship for three consecutive yearsChang’an University “Changda Star” (10 in the whole school, the highest student honor in the school)China Merchants Highway Special Scholarship (10,000 yuan)Chang’an University Outstanding Graduate

Research and Projects 🔬

Autonomous Vehicle Control and Decision-Making TechnologiesKey Research Plan of the Ministry of Science and Technology
September 2020 – December 2021Project Content: Addressing tracking control issues in emergency conditions by establishing a vehicle inverse system using neural networks and creating a tracking algorithm scheduling strategy.Responsibilities: Generated data via CarSim software, constructed trajectory coupling level classifier using neural networks, and verified the method’s accuracy through Simulink simulations.Intelligent Vehicle Active Obstacle AvoidanceTrajectory Optimization
January 2021 – January 2022Project Content: Designing trajectory planning and motion control strategies for intelligent vehicles on dynamic roads using Bezier curves and improved risk potential field models.Responsibilities: Designed longitudinal PID controllers and lateral fuzzy controllers for dynamic trajectory planning and tracking under various conditions.China International Aircraft Design Challenge FinalsCategory A ProjectProject: Limited-time transport airdrop (body weight ≤ 3KG, carrying 20KG items). Completed design from CATIA to test flight.National-level Undergraduate Innovation and Entrepreneurship Training ProgramProject 1: Internet-based human-vehicle intelligent traffic safety bracelet system (Project leader, national first-class excellent completion).Project 2: Terminal connection platform based on unmanned delivery.

Competitions and Awards 🏆

9th National University Biology CompetitionNational Level: Third PrizeProvincial Level: First Prize18th and 19th National Youth Vehicle Model FinalsNational Level: First PrizeProvincial Level: Second Prize*312th Shaanxi University Student “Challenge Cup” Extracurricular Academic Science and Technology Works CompetitionProvincial Level: Second Prize18th National University Student Robot Competition, RoboMaster2019Provincial Level: Third Prize

✍️Publications Top Note :

Article: Breathing Characteristics of Rotor Cracks Based on Time-Varying Centroid Position

Authors: Cui, T., Li, Y., Ma, J., Jin, Y., Wang, C.
Journal: Journal of Mechanical Science and Technology
Year: 2023
Volume: 37
Issue: 2
Pages: 655–666

Conference Paper: Research on Tracking Control Algorithm Scheduling Strategy Based on Motion Trajectory Coupling State

Authors: Yu, Y., Yuan, Y., Xia, B., Liao, G., Jin, Y.
Conference: Proceedings of 2023 IEEE International Conference on Unmanned Systems (ICUS 2023)
Year: 2023
Pages: 1369–1374