CARLA 0.9.16 | TransFuser | Autonomous Driving Evaluation

Looking for someone with experience in CARLA and TransFuser to help with this task If you are a CARLA Engineer, Autonomous Driving Engineer, TransFuser Expert, PyTorch Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Robotics Engineer, or AI Researcher with relevant experience, please contact me. If you have experience with CARLA 0.9.16, TransFuser, model.pth evaluation, autonomous driving evaluation, or similar projects, I would like to discuss this project with you. Please tell me: 1. Your relevant experience. 2. Estimated completion time. 3. Your quotation. ———————————————————————————— Task Requirements Summary 1. Core Task Evaluate autonomous driving performance on the Longest6 test route in the CARLA 0.9.16 environment using the existing model.pth. 2. Functional Requirements - Output evaluation results similar to TransFuser, including Route Completion, Driving Score, and violation-related metrics (such as violation scores). - The test route is fixed to Longest6. There is no need to support switching to other routes. - Retain the ability to switch between different model.pth files, and support testing with the official TransFuser model.pth. 3. Environment Requirements - Ubuntu Linux - 50-series GPU (RTX 5090) - CARLA 0.9.16 4. Deliverables 1. A demonstration video of the actual execution. 2. A Markdown user guide (.md). 3. Complete runnable source code.