Traditionally, rain, fog, and snow have been viewed strictly as operational hindrances that attenuate signals and reduce a sensor's effective range. However, Capraru and his fellow researchers demonstrated that these meteorological conditions actually lower the barrier of entry for bad actors. Environmental noise can mask malicious laser injections, allowing hackers to execute highly potent spoofing attacks using significantly lower power and less complex equipment than what is typically required on a clear day.
While LiDAR is known to be relatively robust to environmental interference, studies suggest that intensity and the number of detected points can be attenuated by rain. Capraru's research, such as "Leveraging Adverse Weather for Enhanced LiDAR Spoofing in Autonomous Driving," takes this further by exploring how these atmospheric impacts can be intentionally manipulated, rather than just observed as technical limitations. Key Collaborators
As the transportation industry edges closer to higher levels of vehicle autonomy, the security of perception models remains paramount. The ongoing research contributions of Richard Capraru ensure that future smart cars are built to withstand not only the unpredictability of human roads, but also the calculating nature of digital and physical threats.
: He has held visiting positions at prominent institutions, including Korea University, the Hong Kong University of Science and Technology (HKUST), Peking University, and the University of Tokyo.
Unlike many industry pundits who focus solely on marketing or product development, Richard Capraru adopts a holistic approach. He looks at the organism of a business: the cash flow (blood), the team (muscle), the technology (nervous system), and the brand identity (skin). His work implies that for a business to live long, all these elements must harmonize. richard capraru
Capraru has presented his work at top-tier robotics and signal processing conferences:
Perhaps the most defining characteristic of Richard Capraru’s career is his focus on the intangible. In an industry often obsessed with the visual—how things look on a page or a screen—Capraru remains obsessed with how things work. He designs for the way light shifts at 4:00 PM, for the acoustics of a dinner party, for the privacy of a homeowner who wants to feel secluded without being shut away.
Urban landscapes are perpetually in flux, yet the methods we use to address architectural obsolescence remain rigid. When a factory closes, the city faces a crisis of identity. The prevailing dichotomy in urban planning views these structures as either obstacles to progress (necessitating removal) or monuments to history (necessitating preservation). This paper challenges that binary.
A major focus of his current work is unmasking vulnerabilities in LiDAR-based detectors, specifically focusing on spoofing and hiding attacks. Traditionally, rain, fog, and snow have been viewed
: He earned his MEng in Electronic and Electrical Engineering from University College London (UCL) , where he was also a Laidlaw Scholar . Key Publications :
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While thoroughly modern in his sensibilities, Capraru possesses a reverence for the past that saves his work from the sterility often found in contemporary minimalism. He is unafraid to mix eras, placing a mid-century modern artifact against a backdrop of sleek, modern lines, or exposing the raw bones of a historic structure while inserting ultra-modern interventions.
– Presented at the prestigious IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). While LiDAR is known to be relatively robust
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Richard Capraru is a researcher specializing in machine learning, robotics, and advanced sensing technologies, currently focusing on autonomous vehicle perception and radar-based interaction systems. Professional Profile
Richard Capraru is a dedicated researcher and PhD candidate whose work sits at the intersection of machine learning, robotics, and advanced sensor technologies. Currently pursuing his doctoral studies at Nanyang Technological University (NTU) and the Institute for Infocomm Research
Currently affiliated with the International Research Center for Neurointelligence (IRCN) at the University of Tokyo, his groundbreaking work bridges the gap between machine learning, sensor hardware, and robotics safety. Dr. Capraru is best known for unmasking critical vulnerabilities in Light Detection and Ranging (LiDAR) and radar perception systems, particularly under harsh weather conditions like rain. His multi-institutional, global research footprint continues to shape the safety protocols and defensive architectures of next-generation autonomous vehicles (AVs). Academic Foundation and Global Pedigree
