Scientists have achieved a breakthrough by enabling artificial intelligence to ‘feel’ surfaces using quantum science. This innovative system, detailed in Applied Optics, uses laser-based sensing and AI to analyze surface topography with remarkable accuracy, promising diverse applications in medicine, manufacturing, and beyond.
Results for: LiDAR
Aeva Technologies Inc. (AEVA) is experiencing significant growth driven by the increasing adoption of its next-generation FMCW 4D LiDAR technology. The company reported triple-digit year-over-year revenue growth in the third quarter, fueled by new customer wins across automotive, industrial, and other sectors. Aeva’s unique 4D LiDAR, which measures both range and velocity simultaneously, is proving valuable for autonomous driving, safety, and efficiency applications.
Tesla CEO Elon Musk has long opposed the use of LiDAR for autonomous driving, but industry experts and competitors are questioning if the company can achieve its goals without it. While Tesla continues to rely on cameras and AI, other companies like Waymo and Zoox are using LiDAR to enhance their autonomous vehicle development. This article explores the debate surrounding LiDAR and Tesla’s future plans for its autonomous ride-hailing service.
Aeva Technologies Inc., a leading developer of 4D LiDAR sensors, has secured a multi-year supply deal with The Indoor Lab, a company specializing in LiDAR perception and analytics solutions. This deal signifies a major expansion for Aeva into the industrial market, highlighting the growing adoption of its advanced technology beyond the automotive sector.
Taiwan’s Ministry of Economic Affairs (MOEA) showcased its latest technological advancements at the Taiwan Innotech Expo, including an AI Solid-State LiDAR system developed by the Industrial Technology Research Institute (ITRI). This cutting-edge technology, aimed at the burgeoning autonomous vehicle market, surpasses existing algorithms in precision and performance, paving the way for Taiwan to become a major player in this industry.
Taiwan’s Department of Industrial Technology (DoIT) showcased its first domestically developed AI Solid-State LiDAR system at the 2024 Taiwan Innotech Expo, aiming to capture a share of the booming autonomous vehicle market. This cutting-edge technology, developed by the Industrial Technology Research Institute (ITRI), boasts superior accuracy and performance compared to existing algorithms. The DoIT, alongside other research institutions, presented a range of innovative technologies, including AI-powered drones and advanced sustainable solutions for the bicycle industry, highlighting Taiwan’s commitment to technological advancement and industrial transformation.
Quantum Computing Inc. (QCi) announced strong second-quarter 2024 financial results, highlighting progress in its Thin Film Lithium Niobate (TFLN) foundry, strategic partnerships, and successful product sales, including a quantum LiDAR prototype to Johns Hopkins University. QCi also reported regaining compliance with Nasdaq and its SEC reporting requirements, positioning the company for continued advancement.
Aeva Technologies is leading the charge in autonomous driving safety with its innovative FMCW LiDAR technology. This next-generation sensor provides real-time, high-resolution data, enabling self-driving vehicles to navigate safely at highway speeds and overcome challenges posed by weather conditions and blind spots. Major players like Daimler Truck AG are embracing Aeva’s technology for its enhanced safety and performance, paving the way for a future where autonomous vehicles are a common sight.
Tesla, known for its reliance on cameras for its Full Self-Driving system, was recently spotted testing a Model X equipped with LiDAR. This contradicts CEO Elon Musk’s previous statements against LiDAR technology. The sighting raises questions about Tesla’s approach to autonomous driving and the role of LiDAR in its future.
RoboSense, an AI-driven robotics technology company, has reported a significant surge in revenue and LiDAR sales in the first half of 2024. The company’s focus on LiDAR for ADAS applications in the automotive industry is driving growth, and RoboSense anticipates further expansion into other robotics markets.