Applied Sciences MDPI’s Post

RTK (Real-Time Kinematics) technology enables positioning with centimetre-level precision. Syslogic is now integrating RTK functionality into its AI-enabled Rugged Computer RS A4NA. This device is interesting for applications in agricultural technology, construction machinery or autonomous vehicles. https://lnkd.in/dKkTwUH5 #rtk #realtimekinematics #edgeAI #agriculture #constructionmachinery #embedded #jetsonorin #ai

Discover how Gaussian Splatting revolutionizes AV simulation! This cutting-edge technique enhances the realism of autonomous vehicle simulations by efficiently rendering complex environments with high fidelity. Learn how Gaussian Splatting can improve safety and performance in autonomous driving technology. #gaussiansplatting #avsimulation #autonomousvehicles #selfdrivingcars #simulation #automotive #machinelearning #deeplearning #computervision #technology #rendering #highfidelity #complexenvironments #cuttingedge #futureoftransportation #autonomousdriving #ai #artificialintelligence #vehicletechnology #simulationtechnology

🌟 Exciting Advancements in Sensor Fusion Technology! 🌟 In environments with high multipath interferences or instances of GNSS signal jamming and spoofing, traditional PNT systems face significant challenges. Inertial Labs is revolutionizing the field with its advanced sensor fusion technology, ensuring uninterrupted and precise navigation data even in GNSS-challenged environments. Key innovations include: 🔹 RF Geolocation: Integrating RF ranging data from MESH network-based tactical SDRs. 🔹 AltNav Receiver: Leveraging STL signals from the Iridium constellation for global position estimates. 🔹 Camera Module: Utilizing machine vision for real-time ground speed updates. 🔹 Air Data Computer: Correcting velocity and altitude readings during GNSS-denied flights. 🔹 Wheel Encoder: Tracking wheel rotations for accurate distance measurements. 🔹 Ground Speed Radar: Using Doppler technology for precise ground speed measurement. These advancements highlight Inertial Labs’ commitment to providing resilient, infrastructure-independent PNT solutions for air, land, and sea-based platforms. Explore the future of navigation technology with Inertial Labs! #InertialLabs #TechNews #SensorFusion #Innovation #FutureTech #SmartSystems #MustRead Feel free to connect for more insights into these cutting-edge solutions!

A Nov. 6 pesentation by Fei Miao of Pratt & Whitney’s Institute for Advanced Systems Engineering explored recent efforts to advance Multi-Agent Reinforcement Learning for connected and automated vehicles which models multiple autonomous vehicles that can send and receive real-time information from nearby vehicles and infrastructure to enhance driving decisions.   “It’s usually okay if we train a reinforcement learning algorithm in a game simulator and it fails. We just restarted the game,” Miao said. “But if an autonomous vehicle fails in real life, then it will be dangerous for human life.”   https://lnkd.in/gRcYMSs9   #connectedvehicles #MARL #pavementmarkings #autonomousvehicles

#Article 📜 A Double-Layer Model Predictive Control Approach for Collision-Free Lane Tracking of On-Road Autonomous Vehicles by Weishan Yang, Yuepeng Chen and Yixin Su 🔗 https://lnkd.in/g8K6fQfB MDPI; Wuhan University of Technology #autonomousvehicle #lanetracking #Abstract This paper proposes a double-layer model predictive control (MPC) algorithm for the integrated path planning and trajectory tracking of autonomous vehicles on roads. The upper module is responsible for generating collision-free lane trajectories, while the lower module is responsible for tracking this trajectory. A simplified vehicle model based on the friction cone is proposed to reduce the computation time for trajectory planning in the upper layer module. To achieve dynamic and accurate collision avoidance, a polygonal distance-based dynamic obstacle avoidance method is proposed. A vertical load calculation method for the tires is introduced to design the anti-rollover constraint in the lower layer module. Numerical simulations, with static and dynamic obstacle scenarios, are conducted on the MATLAB platform and compared with two state-of-the-art MPC algorithms. The results demonstrate that the proposed algorithm outperforms the other two algorithms regarding computation time and collision avoidance efficiency.

🚗 thrilled to share our latest paper on fault-tolerant navigation and control of autonomous vehicles subject to Saturated Input with guaranteed Performance in IEEE Transactions on Vehicular Technology with co-authors Chuan Hu, Xin Liao, Jing Na, Yu Zhang, and Yechen Qin. inviting you to read this paper at https://lnkd.in/eudbw8EN! #AutonomousVehicles #FaultTolerantControl #AdaptiveControl #IEEE #VehicleTechnology

Learn how Waabi is using NVIDIA DRIVE Thor and NVIDIA DRIVE OS to bring an autonomous trucking solution to market.

Learn how Waabi is using NVIDIA DRIVE Thor and NVIDIA DRIVE OS to bring an autonomous trucking solution to market.

Learn how Waabi is using NVIDIA DRIVE Thor and NVIDIA DRIVE OS to bring an autonomous trucking solution to market.

In this paper, delve into the challenges of ensuring stability (in some sense) and robustness in large-scale second-order consensus networks (SOCNs) and autonomous vehicle platoons in the discrete-time domain. It proposes a graph-theoretic methodology for designing a state feedback law for these systems in a discrete-time framework and concludes with simulation and experimental results (using Quanser's QLabs and QCars) that show that the proposed framework is very effective in predicting the behaviour of vehicle platoons, even for more complex agents with nonlinear dynamics. Read now! https://lnkd.in/dGSzD_xC #robustness #stabilityanalysis #graphtheory #trajectory #gaussiannoise #vehicledynamics #northeasternuniversity