[PDF][PDF] A new era of intelligent vehicles and intelligent transportation systems: Digital twins and parallel intelligence
● By March 25, our transaction has received a total of 619 original submissions. Our current
average number of submissions per day (SPD) rate is 7.37. Given this SPD, I would like to …
average number of submissions per day (SPD) rate is 7.37. Given this SPD, I would like to …
A novel robust adaptive neuro-sliding mode steering controller for autonomous ground vehicles
This paper intends to harness recent advances in intelligent commands to develop a novel
steering control strategy for autonomous ground vehicles (AGVs) maneuvering problems. In …
steering control strategy for autonomous ground vehicles (AGVs) maneuvering problems. In …
A hybrid deep reinforcement learning and optimal control architecture for autonomous highway driving
Autonomous vehicles in highway driving scenarios are expected to become a reality in the
next few years. Decision-making and motion planning algorithms, which allow autonomous …
next few years. Decision-making and motion planning algorithms, which allow autonomous …
SwapTransformer: Highway overtaking tactical planner model via imitation learning on OSHA dataset
A Shamsoshoara, SB Salih, P Aghazadeh - IEEE Access, 2024 - ieeexplore.ieee.org
This paper investigates the high-level decision-making problem in highway scenarios
regarding lane changing and over-taking other slower vehicles. In particular, this paper aims …
regarding lane changing and over-taking other slower vehicles. In particular, this paper aims …
[KNIHA][B] Machine Learning-Based Prediction Models and Threat Detection for Lane-Kee** Assistance
J Dahl - 2023 - search.proquest.com
Traffic accidents have been an ongoing problem for over a century and many efforts have
been made to improve traffic safety. Historically, the focus has been on passive safety with …
been made to improve traffic safety. Historically, the focus has been on passive safety with …