Ground Truth Trajectory

Ground truth trajectory refers to the precise, accurately measured path of an object, crucial for evaluating and benchmarking algorithms in robotics, autonomous driving, and computer vision. Current research focuses on improving the accuracy and reliability of ground truth generation, particularly using methods beyond GPS, such as robotic total stations, and on developing robust trajectory prediction models that account for sensor noise and uncertainties in real-world scenarios. These advancements are vital for improving the performance and safety of autonomous systems and for creating more realistic and reliable benchmarks for evaluating related algorithms.