Trong tương lại, nhóm sẽ cố gắng thử nghiệm các chức năng đã được đánh giá vào hệ thống xe thật và quan tâm đến những thách thức thực tế mới như thời tiết (ảnh hưởng trực tiếp đến tầm nhìn của camera), thời gian đáp ứng khi tốc độ của xe ở mức cao, …. Bên cạnh đó, nhóm đã thử nghiệm một số nhiệm vụ mới cho hệ thống như phát hiện và cảnh báo ổ gà, vết nứt trên đường, vật cản động phía trước. Để tích hợp thêm các nhiệm vụ trên vào hệ thống cũng như tăng độ chính xác, tốc độ xử lý đồng thời giảm thời gian huấn luyện mô hình, nhóm đang nghiên cứu áp dụng multi-task learning và transfer learning trong thời gian tới.
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