Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 168 for “"Autonomous Driving"”.
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REAL-TIME OBJECT DETECTION FOR AUTONOMOUS DRIVING
… detection and optimizing the algorithms for autonomous driving application using channel pruning.
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Multi-Agent Hybrid Prediction in Autonomous Driving
In autonomous driving, the hybrid task of predicting both high-level actions and lowlevel trajectories of human behaviour is fundamental to safe downstream decision-making. Much of the existing work in behaviour prediction tackle this problem without sufficiently modelling agent-agent interactions, …
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Contract-based safety verification for autonomous driving
The safe, successful deployment of autonomous systems under real-world conditions, in part, hinges upon providing rigorous performance and safety guarantees. This thesis considers the problem of establishing and verifying the safety of autonomous systems. To this end, we present a novel framework …
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Framework for Optimally Constrained Autonomous Driving Systems
The development of Automated Driving Systems (ADS) has been ongoing for decades in varying levels of sophistication. Levels of automation are defined by Society of American Engineers (SAE) as 0 through 5, with 0 being full human control and 5 being full automation control. Another way to describe …
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Learning Birds-Eye View Representations for Autonomous Driving
… towards the ambitious goal of widespread fully-autonomous vehicles on our roads has accelerated dramatically. This progress has been spurred largely by the success of highly accurate LiDAR sensors, as well the use of detailed high-resolution maps, which together allow a vehicle to navigate its …
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CarSpeak : a content-centric network for autonomous driving
We introduce CarSpeak, a communication system for autonomous driving. CarSpeak enables a car to query and access sensory information captured by other cars in a manner similar to how it accesses information from its local sensors. CarSpeak adopts a content-centric approach where information objects …
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Motion forecasting for autonomous driving in a streaming world
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Illi Racecar: A small-scale platform for autonomous driving
This thesis proposes a safety-critical 1/10 scale autonomous driving platform called Illi Racecar. Sensors, including three cameras, A laser scanner, an inertial measurement unit (IMU), two encoders, and an E-stop button, were installed on the platform for environmental perception. Three levels of …
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A Spatial Attention Mechanism for Motion Prediction in Autonomous Driving
Η ακριβής και αποδοτική πρόβλεψη κίνησης αποτελεί βασικό στοιχείο για την ασφαλή λειτουργία αυτόνομων οχημάτων, τα οποία πρέπει να προβλέπουν τις μελλοντικές τροχιές των γύρω χρηστών του δρόμου σε σύνθετα αστικά περιβάλλοντα. Πρόσφατες αρχιτεκτονικές μετασχηματιστών, όπως το HPTR, προσφέρουν ένα …
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Online risk-aware conditional planning with qualitative autonomous driving applications
Driving is often stressful and dangerous due to uncertainty in the actions of nearby vehicles. Having the ability to model driving maneuvers qualitatively and guarantee safety bounds in uncertain traffic scenarios are two steps towards building trust in vehicle autonomy. In this thesis, we present …
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Consistent Depth Estimation in Data-Driven Simulation for Autonomous Driving
… We demonstrate efficacy in VISTA, an end-to-end autonomous vehicle simulation engine capable of training robust control policies directly applicable to the real-world. Taking advantage of geometrically consistent depth map estimations, we see a several order of magnitude improvement in …
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Drivable Area Segmentation on LiDAR Range View Images for Autonomous Driving
Autonomous driving is transforming modern mobility and redefining transportation paradigms. A fundamental requirement for such systems is the detection of drivable areas around the vehicle, which enables understanding of the surrounding environment and supports the motion-planning decisions that …
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Intelligent Decision-Making for Autonomous Driving in Dynamic and Interactive Environments
… module is crucial for safe and efficient driving in autonomous vehicles (AVs). However, AVs face significant challenges in coexisting with human road users, making fast and optimal driving decisions, and operating in unknown traffic environments with only incomplete information. …
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Localization and Mapping for Autonomous Driving: Fault Detection and Reliability Analysis
Autonomous driving has advanced rapidly during the past decades and has expanded its application for multiple fields, both indoor and outdoor. One of the significant issues associated with a highly automated vehicle (HAV) is how to increase the safety level. A key requirement to ensure the safety …
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Deep Structured Multi-Task Learning for Computer Vision in Autonomous Driving
… useful for real-time applications such as autonomous driving. Visual perception is a multi-module problem that requires several different computer vision tasks to be solved. We discuss how, by sharing computations, we can improve not only the inference speed but also the prediction …
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A robust motion planning approach for autonomous driving in urban areas
This thesis presents an improved sampling-based motion planning algorithm, Robust RRT, that is designed specifically for large robotic vehicles and uncertain, dynamic environments. Five main extensions have been made to the original RRT algorithm to improve performance in this type of applications. …
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A Deep Learning-Based Automatic Object Detection Method for Autonomous Driving Ships
<p>An important feature of an Autonomous Surface Vehicles (ASV) is its capability of automatic object detection to avoid collisions, obstacles and navigate on their own.</p> <p>Deep learning has made some significant headway in solving fundamental challenges associated with object detection and …
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