Essays about: "Driver assistance"
Showing result 1 - 5 of 106 essays containing the words Driver assistance.
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1. Challenges in Specifying Safety-Critical Systems with AI-Components
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE
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2. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. READ MORE
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3. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction
University essay from Lunds universitet/Matematik LTHAbstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE
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4. Design and implementation of an affordable reversing camera system with object detection and OBD-2 integration for commercial vehicles
University essay from KTH/Hälsoinformatik och logistikAbstract : This thesis is about designing and implementing an affordable reversing camera sys-tem with object detection and OBD-2 integration for commercial vehicles. The aim is to improve the safety and efficiency of these vehicles by giving drivers a clear view of their surroundings behind the vehicle and alerting them to the presence of nearby obstacles. READ MORE
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5. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene
University essay from Jönköping University/Jönköping AI Lab (JAIL)Abstract : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. READ MORE