Browsing by Subject "Autonomous driving"
Now showing items 1-20 of 28
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A Preliminary study of deep learning sensor fusion for pedestrian detection
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-04)
Article
Open AccessMost pedestrian detection methods focus on bounding boxes based on fusing RGB with lidar. These methods do not relate to how the human eye perceives objects in the real world. Furthermore, lidar and vision can have difficulty ... -
An automotive case study on the limits of approximation for object detection
(2023-05)
Article
Open AccessThe accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects ... -
Anticipatory kinodynamic motion planner for computing the best path and velocity trajectory in autonomous driving
(2019-04-01)
Article
Open AccessThis paper presents an approach, using an anticipatory kinodynamic motion planner, for obtaining the best trajectory and velocity profile for autonomous driving in dynamic complex environments, such as driving in urban ... -
Aplicación de conducción autónoma sobre ROS y sistema embebido
(Universitat Politècnica de Catalunya, 2022-07-05)
Bachelor thesis
Restricted access - author's decisionActualment, l'automatització de tasques és un repte per a la humanitat, ja que, gràcies a aquesta la qualitat de vida de les persones millora, en no haver de preocupar-se de fer accions quotidianes que es realitzaven en ... -
At-scale evaluation of weight clustering to enable energy-efficient object detection
(Elsevier, 2022)
Article
Open AccessAccelerators implementing Deep Neural Networks (DNNs) for image-based object detection operate on large volumes of data due to fetching images and neural network parameters, especially if they need to process video streams, ... -
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controller
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessAutonomous vehicles are complex systems that operate in dynamic environments, where automated driving seeks to control the coupled longitudinal and lateral vehicle dynamics to follow a certain behaviour. Model predictive ... -
Autonomous driving with CARLA
(Universitat Politècnica de Catalunya, 2022-07-01)
Bachelor thesis
Open AccessLa intención de esta tesis es establecer una base en el mundo de la inteligencia artificial, específicamente en CARLA, un simulador de conducción autónoma de código abierto. El objetivo principal de este trabajo es conseguir ... -
Characterizing self-driving tasks in general-purpose architectures
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021-09-15)
Part of book or chapter of book
Open AccessAutonomous Vehicles (AVs) have the potential to radically change the automotive industry. How- ever, computing solutions for AVs have to meet severe performance constraints to guarantee a safe driving experience. Current ... -
CleanET: enabling timing validation for complex automotive systems
(Association for Computing Machinery (ACM), 2020)
Conference report
Open AccessTiming validation for automotive systems occurs in late integration stages when it is hard to control how the instances of software tasks overlap in time. To make things worse, in complex software systems, like those for ... -
Control del movimento de un Crawler con visión artificial
(Universitat Politècnica de Catalunya, 2021-06-23)
Master thesis
Restricted access - author's decisionEl proyecto se ha llevado a cabo dentro de las inmediaciones del grupo de investigación SARTI. Uno de los proyectos abiertos de este grupo está vinculado al control de un Crawler para la exploración del fondo marino. El ... -
Data fusion of lidar and RGB cameras
(Universitat Politècnica de Catalunya, 2018-07-19)
Master thesis
Restricted access - confidentiality agreementLight Detection and Ranging - LiDAR or LIDAR - has traditionally been used for making high-resolution maps in a huge variety of geological applications due to its 2D and 3D point cloud mappings. Additionally, it has recently ... -
Deep Reinforcement Learning for Autonomous Collision Avoidance
(Universitat Politècnica de Catalunya, 2020-05-25)
Bachelor thesis
Open Access
Covenantee: Hong Kong University of Science and TechnologyLa prevenció de col·lisions és una tasca complexa en el control de vehicles autònoms. Els mètodes tradicionals utilitzen models explícits per predir la dinàmica dels vehicles i intentar anticipar les decisions de control ... -
Deployment and validation of a sensor network and autonomous driving on a ship
(Universitat Politècnica de Catalunya, 2022-10-24)
Master thesis
Open AccessThe personal automobile market goals are very clear; IoT, autonomous driving, comfort while driving¿ But those trends do not apply to all personal transportations systems. In this case, we are going to study the IoT and ... -
Dynamic and execution views to improve validation, testing, and optimization of autonomous driving software
(Springer Nature, 2023-06)
Article
Open AccessThe adoption of autonomous driving (AD) software executed on high-performance multi-processor systems on chip (MPSoCs) contributes to increasing the overall system’s safety and efficiency. However, existing AD software ... -
Efficient diverse redundant DNNs for autonomous driving
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessAutomotive applications with safety requirements must adhere to specific regulations such as ISO 26262, which imposes the use of diverse redundancy for the highest integrity levels (i.e., ASIL D). While this has been often ... -
Enabling unit testing of already-integrated AI software systems: The case of Apollo for autonomous driving
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessThe advanced AI-based software used for autonomous driving comprises multiple highly-coupled modules that are data and control dependent. Deploying those already-integrated software frameworks makes unit testing, a fundamental ... -
Energy-efficient object detection: impact of weight clustering for different arithmetic representations
(Springer, 2024)
Article
Restricted access - publisher's policyObject detection in video streams is often realized with Deep Neural Networks (DNNs), which require fetching, to the computing unit where they are executed, large volumes of weights to process each image of the video. In ... -
Learning-based control of autonomous vehicles using an adaptive neuro-fuzzy inference system and the linear matrix inequality approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-04-16)
Article
Open AccessThis paper proposes a learning-based control approach for autonomous vehicles. An explicit Takagi–Sugeno (TS) controller is learned using input and output data from a preexisting controller, employing the Adaptive Neuro-Fuzzy ... -
LPV-MP planning for autonomous racing vehicles considering obstacles
(2020-02-01)
Article
Open AccessIn this paper, we present an effective online planning solution for autonomous vehicles that aims at improving the computational load while preserving high levels of performance in racing scenarios. The method follows the ... -
Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them
(Springer Nature, 2023-09)
Article
Open AccessSafety standards in domains like automotive and avionics seek for deterministic execution (lack of jittery behavior) as a stepping stone to build a certification argument on the correct timing behavior of the system. ...
