Race Data AI Telemetri ya Bapalani ba Sim Racing ka Cansu Cetin

Moralo oa Race Data AI Telemetri ya Bapalani ba Sim Racing ka Cansu Cetin ke mohlodi oa khau e hlomphehang haholo ya 2025 Moputso oa Tšepe oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Sebopeho, Tshebedisano le Boiphihlelo ba Mosebedisi.

TšepeSebopeho· 2025

Race Data AI Telemetri ya Bapalani ba Sim Racing

ka Cansu Cetin

Moreki: Driven AVS

Mohlodi oa Moputso oa Tšepe oa A' Design Award Mokhahleong oa Sebopeho

13,338

Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #167411

Etela Sebaka Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Race Data AI Telemetri ya Bapalani ba Sim Racing

Morero ona o fetola tlhatlhobo ya sim racing ka ho theha sesebelisoa sa telemetry se bonolo ho sebedisa se kopanyang mabapi a virtual le a nnete. Se nolofatsa dintlha tse rarahaneng ka dimapa tsa mmila tse sebetsang, di-dashboard tse ka fetohang, le dipapiso tsa dintho. E hlophisitswe ka maikutlo a pheta-phetoang a tsoang ho bapalani ba sim racing, moralo o fana ka lesedi le fumanehang empa le tebileng ho ntlafatsa tshebediso. Ka ho kopanya boqapi le bolokolohi ba tshebediso, e matlafatsa bapalani ho ntlafatsa kamehla le ho utloisisa hantle dintlha tsa bona tsa mabapi.

Kamohelo

Mabapi le Moputso oa Tšepe oa A' Design Award

Race Data AI Telemetri ya Bapalani ba Sim Racing ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Race Data AI Telemetri ya Bapalani ba Sim Racing e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Race Data AI Telemetri ya Bapalani ba Sim Racing e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.
Boholo le Phuthelo: The design was developed with a focus on responsiveness, ensuring compatibility across various screen sizes. The layout adapts seamlessly from 1024x768px to 1792x1024px for larger displays. Interactive elements were optimized for touch and mouse input, with clickable areas sized for ease of use across devices. Data visualization tools were engineered for high performance, processing telemetry data in real-time with minimal latency, ensuring smooth user experience even with large datasets.
Lithegi: Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,
Theknoloji ya Tlhahiso: The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.
Phephetso ya Moralo: The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.
Dipatlisiso: The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.
Kgothaletso: The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.
Nako ya Projeke: The project started in May 2024 in Turkey and finished in December 2024 in Canada.
Tsamaiso ya Mosebetsi: This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.