ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning [PDF]
European Conference on Computer Vision, 2022 Many existing autonomous driving paradigms involve a multi-stage discrete pipeline of tasks. To better predict the control signals and enhance user safety, an end-to-end approach that benefits from joint spatial-temporal feature learning is desirable ...
Shengchao Hu +5 more
semanticscholar +1 more source
Results in Engineering, 2023 Vehicle technology development to help reduce global energy consumption and prevent global warming has been the focus of attention. Therefore, engine development has focused on supporting energy-saving and low emissions policies.
Suroto Munahar +3 more
doaj +1 more source
Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches
IEEE Access, 2022 Distracted driving is any activity that deviates an individual’s attention from driving. Some of these activities include talking to people in the vehicle, using hand-held devices such as mobile phones or tablets, eating or drinking, and adjusting
Naveen Kumar Vaegae +3 more
doaj +1 more source
Proposed parametric cooling of bilayer cuprate superconductors by terahertz excitation [PDF]
, 2015 We propose and analyze a scheme for parametrically cooling bilayer cuprates based on the selective driving of a $c$-axis vibrational mode. The scheme exploits the vibration as a transducer making the Josephson plasma frequencies time-dependent.
Cavalleri, A. +4 more
core +3 more sources
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline [PDF]
Neural Information Processing Systems, 2022 Current end-to-end autonomous driving methods either run a controller based on a planned trajectory or perform control prediction directly, which have spanned two separately studied lines of research. Seeing their potential mutual benefits to each other,
Peng Wu +5 more
semanticscholar +1 more source
Sensorless Driving/Braking Control for Electric Vehicles
Actuators, 2020 A sensorless driving/braking control system for electric vehicles is explained in the present paper. In the proposed system, a field-oriented control (FOC) was used to integrate driving and braking controls in a unified module for reducing the cost of ...
En-Ping Chen +3 more
doaj +1 more source
Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme
IEEE Robotics and Automation Letters, 2021 We consider the problem of predicting the motion of vehicles in the surrounding of an autonomous car, for improved motion planning in lane-based driving scenarios without inter-vehicle communication.
Vasileios Lefkopoulos +3 more
semanticscholar +1 more source
Research on Heat Economy of Drive Scheme for Generator Boiler Feed Pump
Chemical Engineering Transactions, 2018 The purpose of this study is to improve the heat economy of generator-unit boiler feed pump (BFP) drive and promote the driving effect of BFP. To this end, this paper studies the heat economy of generator’s BFP drive.
Yanjie Song, Zhijun Jia, Guojun Zhang
doaj +1 more source
Generation of uniform synthetic magnetic fields by split driving of an optical lattice [PDF]
, 2014 We describe a method to generate a synthetic gauge potential for ultracold atoms held in an optical lattice. Our approach uses a time-periodic driving potential based on two quickly alternating signals to engineer the appropriate Aharonov-Bohm phases ...
Creffield, C. E., Sols, F.
core +3 more sources
Continuous Generation of Quantum Light from a Single Ground-State Atom in an Optical Cavity
, 2020 We show an optical wave-mixing scheme that generates quantum light by means of a single three-level atom. The atom couples to an optical cavity and two laser fields that together drive a cycling current within the atom.
Ianzano, C. +4 more
core +2 more sources