Seeing the road ahead: Smarter distance perception for autonomous driving
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Nov-2025 13:11 ET (5-Nov-2025 18:11 GMT/UTC)
Researchers from the Technical University of Munich have developed URNet, a novel artificial intelligence model that helps autonomous driving systems perceive their surroundings more clearly—even in dark, fast-changing environments. By combining an unconventional “event camera” with a self-aware framework, URNet allows vehicles to build reliable 3D maps that measure how far objects are—a process known as depth estimation—while understanding how confident they should be about what they “see.” This innovation could make next-generation self-driving cars safer and more capable of navigating complex real-world conditions.
A research paper by scientists at the Harbin Institute of Technology proposed a novel centimeter-scale quadruped piezo robot. The robot’s locomotion is generated by multi-dimensional vibration trajectories at the feet, which are produced through a novel built-in actuation method.
The research paper, published on Jul. 22, 2025 in the journal Cyborg and Bionic Systems, presented a novel centimeter-scale quadruped piezoelectric robot with high integration and strong robustness, which promises to bring new perspectives for the construction and application of centimeter-scale robots.
In the study, (Hf(1-X)/4Zr(1-X)/4Nb(1-X)/4Ta(1-X)/4CoX)C (X=0.14, 0.18, and 0.20) high-entropy ceramic powders were successfully synthesized via a polymer-derived ceramic (PDC) method at 1700-1900 °C. Structural analysis (XRD, SEM, TEM, and XPS) confirmed the formation of single-phase rock-salt structures with homogeneous elemental distribution and significant lattice distortion. The (Hf0.215Zr0.215Nb0.215Ta0.215Co0.140)C ceramic prepared at 1700°C exhibited excellent reflection loss (RL) of -37.95 dB at 14.01 GHz with a thickness of 3.10 mm. The introduction of the magnetic element cobalt optimized the permeability and dielectric constant of the sample, significantly enhancing the dielectric-magnetic loss synergy. This work bridges the gap in systematic research on incorporating Co into high-entropy carbide ceramics and provides new insights for designing high-performance electromagnetic wave absorbing materials.
Silicon carbide (SiC) fiber aerogels have shown promising prospects in fields such as thermal protection, electromagnetic wave absorption, and environmental remediation. However, existing research largely relies on single-scale fiber assembly, resulting in a uniform pore structure that hinders multiscale synergy and limits performance enhancement. Furthermore, current studies primarily focus on flexible applications, while the development of rigid, high-strength aerogels for high-temperature load-bearing scenarios remains insufficient. Therefore, it is of great significance to develop SiC aerogels that integrate a multiscale pore structure with high mechanical strength.
A research team from Yunnan University has developed a novel liquid metal-assisted heteroepitaxy method to grow high-quality perovskite crystals within mesoporous scaffolds. This breakthrough enables printable mesoscopic perovskite solar cells to reach a champion efficiency of 20.2% while maintaining 97% performance after 3000 hours under harsh conditions. The approach offers a scalable pathway to efficient, stable, and low-cost printable photovoltaics.
This study aims to examine how paeoniflorin alleviates depression-like behaviours in rats subjected to chronic unpredictable mild stress (CUMS) by modulating the function of gut–brain axis, and explore the connections between gut microbiota, metabolites and MDD.