TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving

ArXi:2602.23499v2 Announce Type: replace-cross Collecting a high-quality dataset is a critical task that demands meticulous attention to detail, as overlooking certain aspects can render the entire dataset unusable. Autonomous driving challenges remain a prominent area of research, requiring further exploration to enhance the perception and planning performance of vehicles. However, existing datasets are often incomplete.