No abstract

In this paper, we present a deep neural network based real-time integrated framework to detect objects, lane markings, and drivable space using a monocular camera for advanced driver assistance systems. The object detection framework detects and tracks objects on the road such as cars, trucks, pedestrians, bicycles, motorcycles, and traffic signs. The lane detection framework identifies the different lane markings on the road and also distinguishes between the ego lane and adjacent lane boundaries. The free space detection framework estimates the drivable space in front of the vehicle. In our integrated framework, we propose a pipeline combining the three deep neural networks into a single framework, for object detection, lane detection, and free space detection simultaneously. The integrated framework is implemented in C++ and runs real-time on the Nvidia's Drive PX 2 platform.

No abstract

This article provides an analysis of an aerospace business case on additive layer manufacturing (ALM) process. Using activity-based costing (ABC), we can breakdown the cost drivers and understand the cost levers associated with ALM process. This can help us in finding the innovative ways to enhance the ALM process operation's efficiency. We have considered an aircraft bracket manufacturing using the direct metal laser sintering process as a business case for our ABC analysis on additive layer manufacturing technologies in aerospace and defence supply chain. The additive layer manufactured components associated cost can be divided into design cost, production cost, post-processing cost and qualification cost. Each step in the additive manufacturing process performs at one organisation or across a supply chain based on the various internal and external suppliers. Also, there are overhead costs associated with each step of this additive manufacturing process. This article explains the cost involved in the component design and its relevance to supply chain. It explains the cost involved in the component production such as materials cost, machine setup cost, machine runtime cost and final build plate removal cost. It also explains the cost involved in the post-processing such as heat-treating cost, machining cost and surface finish cost. The component process cost is required to qualify based on its end use. The component qualification cost is required to add significantly to the component overall cost including the labour cost and computer tomography scan cost. The overhead cost is depending on the individual operation and it assigns these costs appropriately. It computes the ABC for an aerospace bracket and concludes with analysis to make a convinceable business case for the use of innovative technology and to enable to identify the cost of drivers and levers, so it can drive business with more efficiently.

Narsimlu KEMSARAM is currently pursuing a PhD degree from Jawaharlal Nehru