While currently the algorithm only works for binary detection tasks ( only detecting one intended object , such as pedestrians ), researchers are working toward simultaneous detection of different types of objects . “ We want to train just one detector to recognize , for example , five or more different objects ,” says Vasconcelos . “ Developing that algorithm is the next challenge .”
The Best of Both Algorithms
Vasconcelos ’ innovative detection technology uses two approaches to quickly filter images , then process more complex parts in detail .
Vasconcelos ’ algorithm combines the best of both worlds : traditional cascade detection quickly filters out most of the non-pedestrian parts of an image during the early stages , then deep learning models are used to process the more complex parts in later stages .
According to Vasconcelos , this is the first algorithm to incorporate stages of deep learning into cascade detection . “ No previous algorithms have been capable of optimizing the trade-off between detection accuracy and speed for cascades with stages of such different complexities . The results we ’ re obtaining with this new algorithm are substantially better for real-time , accurate pedestrian detection .”
ALGORITHMS ARE JUST ONE of the many challenges when it comes to autonomous cars . For all the excitement over the prospect of being chauffeured by a computer program , there ’ s an equal amount of anxiety about relinquishing the wheel . Mohan Trivedi , electrical engineering professor at the Jacobs School of Engineering and researcher in the Contextual Robotics Institute , recognizes this dichotomy and is driven to answer the most fundamental questions behind the onset of smart cars : When we talk about intelligent automobiles , what does it mean , exactly ? Does it mean autonomous self-driving robots , or something else ? He also encourages researchers to consider what role humans will play in the autonomous vehicles of the future . For example , would humans be required to interact with , or take control of , the vehicle , or would they trust their robotic vehicles completely ?
CASCADE DETECTION computer vision algorithms that quickly identify and discard areas lacking a specified image ; limited to simple recognition .
VASCONCELOS ’ ALGORITHM
DEEP LEARNING MODELS algorithms capable of complex pattern recognition after being trained with examples ; similar to how the human brain processes .
FAST + LESS ACCURATE FAST + ACCURATE SLOW + MORE ACCURATE
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