64 research outputs found

    Improving Inference Speed of Perception Systems in Autonomous Unmanned Ground Vehicles

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    Autonomous vehicle (AV) development has become one of the largest research challenges in businesses and research institutions. While much research has been done, autonomous driving still requires extensive amounts of research due to its immense, multi-factorial difficulty. Autonomous vehicles rely on many complex systems to function, make accurate decisions, and, above all, provide maximum safety. One of the most crucial components of autonomous driving is the perception system. The perception system allows the vehicle to identify its surroundings and make accurate, but safe, decisions through the use of computer vision techniques like object detection, image segmentation, and path planning. Due to the recent advances in deep learning, state-of-the-art computer vision algorithms have made exceptional progress. However, for production-ready autonomous driving, these algorithms must be nearly perfect. Furthermore, even though perception systems are a widely researched area, most research focuses on urban environments and there exists a great need for autonomy in other areas. Specifically, autonomy for unmanned ground vehicles (UGV) needs to be explored. Autonomous UGVs allow for a wide range of applications like military usage, extreme climate exploration, and rescue missions. This research aims to investigate bottlenecks within a perception system of autonomous UGVs and methods of improving them. The primary investigation focuses on the inference speed of semantic segmentation using deep learning techniques. Unlike object detection, semantic segmentation provides a much better understanding of the environment by providing pixel-wise classification rather than only creating bounding boxes. However, semantic segmentation comes at a much higher computational cost. Secondly, this thesis looks at increasing the image transfer time from a mounted camera to a video processing unit (which serves the deep learning model) using lossy compression. Due to the nature of lossy compression, we must also understand how lossy compression affects the classification accuracy of semantic segmentation. Finally, the challenges faced and preliminary results from future work relating to temporal consistency are discussed

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    The Paradox of Local Empowerment: Decentralization and Democratic Governance in Mexico

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    This dissertation examines whether decentralization to municipal governments in Mexico has improved democratic governance. The research examines the effects of decentralization on democratic governance in three Mexican cities: Tijuana, Ciudad Nezahualcóyotl, and Chilpancingo and draws on key national indicators. The findings indicate that decentralization has significantly increased the authority and autonomy of Mexican municipalities, but that these changes have not necessarily led to local governments that are responsive and accountable to citizens or allow for citizens' active engagement in public affairs. Further analysis of these findings suggests that municipal political institutions create few incentives for public authorities to be responsive and accountable to citizens. The use of closed party lists, prohibitions on independent candidacies, guaranteed supermajorities for the leading party, and the prohibition on reelection all combine to undermine accountability and responsiveness. In this environment, public authorities tend to be more concerned about party leaders than citizens. As a result, citizens continue to be linked to local governments through political brokers within the principal political parties and there are few real opportunities for citizen engagement outside of these mediated channels despite the nominal existence of elaborate participatory planning processes. Nonetheless, the study also finds marked differences in the way that citizens are linked to the political system in different cities. Where strong social organizations existed prior to decentralization, citizens are more likely to have effective, albeit indirect, channels for voice in public affairs. Where these social organizations are linked closely to the principal political parties, they are even more likely to influence public policy than where these organizations are highly autonomous. Strong social organizations provide a necessary basis for ensuring citizen voice, but their linkages to the political process ultimately determine whether they are effective in influencing policy decisions. In other words, horizontal linkages in civil society--social capital--are a necessary precondition for good democratic governance, but vertical linkages between citizens and political actors are equally important

    Institutionalisation of Social Movements: Co-option And Democratic Policy-making

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    Over the past 30 years, urban policy in Brazil has undergone a major transformation, both in terms of regulatory frameworks and the involvement of citizens in the process of policy-making. As an intense process of institutional innovation and mobilisation for decent publicservices took place, academics started to consider the impact of institutionalisation on the autonomy of social movements. Using empirical evidence from a city in the northeast of Brazil, this article addresses the wider literature on citizen participation and social movements to examine specifically the problem with co-optation. I examine the risks linked to co-optation, risks that can undermine the credibility of social movements as agents of change, and explore the tensions that go beyond the ‘co-optation versus autonomy’ divide, an issue frequently found in the practices of social movements, in their dealings with those in power. In particular, this article explores the learning processes and contentious relationships between mainly institutionally oriented urban movements and local government. This study found that the learning of deliberative skills not only led to changes in the objectives and repertoires of housing movements, but also to the inclusion of new components in their objectives that provide room for creative agency and which, in some cases, might allow them to maintain their autonomy from the state

    States Of Discontent

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    Latin America’s recent inclusionary turn centers on changing relationships between the popular sectors and the state. Yet the new inclusion unfolds in a region in which most states are weak and prone to severe pathologies, such as corruption, inefficiency, and particularism. The first part of the chapter outlines an argument, developed at more length elsewhere, regarding how “state crises” helped drive the consolidation of three distinct party system trajectories among the eight South American countries where the Left would eventually win power. The second part of the chapter argues that these trajectories differed in three ways that likely conditioned how the concomitant inclusionary Left turn unfolded in each case: the institutionalization of left-wing parties, the occurrence of state transformation via constitutional reform, and the level of state capacity. The discussion helps highlight the central role of the state and its pathologies in both driving alternative paths of political development and in conditioning the politics of inclusion. By putting the emphasis on the state and its pathologies, we can better consider not just the sources of sociopolitical exclusion but also the limits of sociopolitical inclusion
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