Artificial intelligence has smoothly penetrated several economic activities, especially
monitoring and control applications, including the agriculture sector. However, research …

Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …

The rapid proliferation of the Internet of Things and the dramatic resurgence of artificial
intelligence based application workloads have led to immense interest in performing …

Many computer vision tasks, ranging from recognition to multi-view registration, operate on
feature representation of images rather than raw pixel intensities. However, conventional …

Approximate computing (AxC) has advanced from being an emerging design paradigm to
becoming one of the most popular and effective methods of energy optimization for …

Autonomous driving research has progressed significantly in recent years. In order to travel
safely, comfortably, and effectively, an autonomous car must completely comprehend the …

Task-driven closed-loop perception-sensing systems have shown considerable energy
savings over traditional open-loop systems. Prior works on such systems have used simple …

Contemporary society has opened the door to the Internet era due to the advancement of
knowledge and skills. The utilization of Internet technology has brought unprecedented …

Deep Neural Network (DNN) systems tend to produce overconfident or uncalibrated outputs.
This poses problems for active sensor systems that have a DNN module as the main …

3D integrated digital pixel image sensors with pixel parallel processing capabilities provide
opportunities for high resolution and frame rate camera platform. However, energy efficiency …