Example Concept: Visual odometry accuracy is affected by factors such as poor lighting conditions, motion blur, lack of texture in the environment, and camera calibration errors. These issues can lead to incorrect feature detection and matching, resulting in drift and inaccuracies in the estimated trajectory. Algorithms must account for these challenges by incorporating robust feature extraction methods, adaptive thresholding, and error correction techniques to maintain accuracy.