Essays about: "Autonom"

Showing result 1 - 5 of 94 essays containing the word Autonom.

  1. 1. Deep Reinforcement Learning for Autonomous Highway Driving Scenario

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Neil Pradhan; [2021]
    Keywords : Deep reinforcement learning; Highway driving scenario; Tactical decision making; fuel reduction; high-level decision making; autonomous driving; Partially Observable Markov Decision Process POMDP .; Lärande om djupförstärkning; motorvägsscenario; taktiskt beslutsfattande; bränslereduktion; beslut på hög nivå; autonom körning; Partially Observable Markov Decision Process POMDP ;

    Abstract : We present an autonomous driving agent on a simulated highway driving scenario with vehicles such as cars and trucks moving with stochastically variable velocity profiles. The focus of the simulated environment is to test tactical decision making in highway driving scenarios. READ MORE

  2. 2. SELECTION OF FEATURES FOR ML BASED COMMANDING OF AUTONOMOUS VEHICLES

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sabarish Sridhar; [2020]
    Keywords : Autonomous Driving; Reinforcement Learning; Dyna-2 Architecture; Function Approximation; Feature Selection; Machine Learning.; Autonom körning; Förstärkningsinlärning; Dyna-2 Arkitektur; Funktionsapproximering; Attributval; Maskininlärning.;

    Abstract : Traffic coordination is an essential challenge in vehicle automation. The challenge is not only about maximizing the revenue/productivity of a fleet of vehicles, but also about avoiding non feasible states such as collisions and low energy levels, which could make the fleet inoperable. READ MORE

  3. 3. 2D object detection and semantic segmentation in the Carla simulator

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Chen Wang; [2020]
    Keywords : Object-detectiopn; Semantic segmentation; Yolov4; ESPnetv2; Carla; Objekt-detectiopn; semantisk segmentering; Yolov4; ESPnetv2; Carla;

    Abstract : The subject of self-driving car technology has drawn growing interest in recent years. Many companies, such as Baidu and Tesla, have already introduced automatic driving techniques in their newest cars when driving in a specific area. However, there are still many challenges ahead toward fully autonomous driving cars. READ MORE

  4. 4. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ajinkya Khoche; [2020]
    Keywords : ;

    Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE

  5. 5. Exploring the Training Data for Online Learning of Autonomous Driving in a Simulated Environment

    University essay from Linköpings universitet/Datorseende

    Author : Mathias Kindstedt; [2020]
    Keywords : Online learning; autonomous driving; qhebb; carla; simulator; on-the-fly; exploring; training data; populating; learning matrix; Online lärande; autonom körning; qhebb; carla; simulator; utforskning; träningsdata; popularing; lärandematris;

    Abstract : The field of autonomous driving is as active as it has ever been, but the reality where an autonomous vehicle can drive on all roads is currently decades away. Instead, using an on-the-fly learning method, such as qHebb learning, a system can,after some demonstration, learn the appearance of any road and take over the steering wheel. READ MORE