This paper introduces a minimalistic autonomous racing stack designed for high-speed time-trial racing, emphasizing rapid deployment and efficient system integration with minimal on-track testing. Validated on real speedways, the stack achieved a top speed of 206 km/h within just 11 hours of practice, covering 325 km. The system performance analysis includes tracking accuracy, vehicle dynamics, and safety considerations. Why it matters: This research offers insights for teams aiming to quickly develop and deploy autonomous racing stacks with limited track access, potentially accelerating innovation in autonomous vehicle technology within the A2RL and similar racing initiatives.
Team TII EuroRacing (TII-ER) developed a full autonomous software stack for oval racing, enabling speeds above 75 m/s (270 km/h). The software includes modules for perception, planning, control, vehicle dynamics modeling, simulation, telemetry, and safety. The team achieved second and third place in the first two Indy Autonomous Challenge events using this stack.
VentureOne, the commercialization arm of Abu Dhabi's Advanced Technology Research Council (ATRC), has launched SteerAI, an AI-powered autonomous mobility system that can be integrated into existing industrial vehicles. Developed by experts at the Technology Innovation Institute (TII), SteerAI uses a hardware kit, software stack, and fleet management system. The system targets the logistics and defense sectors, enabling autonomous ground vehicles to perform complex missions with precision and efficiency. Why it matters: This launch underscores the UAE's ambition to become a leader in autonomous vehicle technology, transforming industries and enhancing operational capabilities in critical sectors.
Researchers from the BME Formula Racing Team present the autonomous software stack of the FRED-003C, which enabled full-scale autonomous racing. The software stack was developed in the context of Formula Student Driverless competitions. The paper details the software pipeline, hardware-software architecture, and methods for perception, localization, mapping, planning, and control. Why it matters: The team's experience contributed to their participation in the Abu Dhabi Autonomous Racing League, and sharing the system provides a valuable starting point for other students in the region.
Giuseppe Loianno from NYU presented research on creating "Super Autonomous" robots (USARC) that are Unmanned, Small, Agile, Resilient, and Collaborative. The research focuses on learning models, control, and navigation policies for single and collaborative robots operating in challenging environments. The talk highlighted the potential of these robots in logistics, reconnaissance, and other time-sensitive tasks. Why it matters: This points to growing research interest in advanced robotics in the region, especially given the focus on smart cities and automation.
TII-EuroRacing Team, comprised of researchers from TII's ARRC and UNIMORE, is participating in the Indy Autonomous Challenge (IAC) at CES 2023 in Las Vegas. The team will compete with its DO12 racecar, a Dallara AV-21 retrofitted with automation hardware and advanced prototype software. The IAC aims to accelerate the commercialization of fully autonomous vehicles and advanced driver assistance systems. Why it matters: This participation allows TII to test and improve its autonomous vehicle technology in a dynamic environment, contributing to the advancement of autonomous systems in the region.
Technology Innovation Institute (TII), ASPIRE, and Maqta Gateway have signed a Proof-of-Concept (PoC) agreement to develop AI and robotics solutions for terrestrial, aerial, and marine applications. The projects include unmanned ground vehicles for cargo movement and autonomous watercraft for passenger transport in Abu Dhabi. The solutions will use computer vision, communication, sensors, and Lidar technology to integrate with AD Ports Group’s infrastructure, enhancing productivity and reducing costs. Why it matters: This partnership signifies Abu Dhabi's commitment to integrating advanced autonomous technologies into its logistics and transportation infrastructure, potentially setting a new standard for efficiency and sustainability in the region.