Modern autonomous vehicles rely heavily on mechanical LiDARs for perception. Current perception methods generally require $360^\circ$ point clouds, collected sequentially as the LiDAR scans azimuth and acquires consecutive wedge-shaped ...

We present a comparative study of the performance of reported neural net algorithms for the detection of first breaks in seismic reflection data with regard to accuracy, learning rate and generalisability.

Recent advances in monocular 3D detection leverage a depth estimation network explicitly as an intermediate stage of the network. Depth map approaches yield more accurate to objects than other methods thanks trained on large-scale dataset. However, can be limited by accuracy map, and sequentially using two separated networks for significantly increases computation cost inference time. In this w...

Modern object detectors are ill-equipped to incrementally learn new emerging classes over time due the well-known phenomenon of catastrophic forgetting. Due data privacy or limited storage, few no images old can be stored for replay. In this paper, we design a novel One-Shot Replay (OSR) method incremental detection, which is an augmentation-based method. Rather than storing original images, on...

 Large-scale subsurface fluid injection has the potential to trigger earthquakes. In addition to seismic hazard, reactivation of faults and fractures during CO2 injection has the potential to compromise storage integrity. These risks need to be taken into account when selecting potential carbon capture and storage (CCS) sites.  Deployment of seismometers at current large-scale CCS projects (m...

Design and detailing requirements of seismic provisions for concentrically braced frames ~CBF! were specified based on the premise that bracing members with low KL /r and b / t will have superior seismic performance. However, relatively few tests investigate the cyclic behavior of CBF. It is legitimate to question whether the compression member of CBF plays as significant a role as what has bee...

On the basis of the optimization-based approach to the analysis of massive ordered data sets, a new method is proposed for computer-aided interpretation of seismic exploratory data from the so-called crystalline basement of the Earth mantle, which underlies the relatively thin sedimentary cover having been, up to now, the almost exceptional object of seismic explorations. The seismic explorator...