KITTI benchmark
PulseAugur coverage of KITTI benchmark — every cluster mentioning KITTI benchmark across labs, papers, and developer communities, ranked by signal.
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New datasets and lightweight models advance monocular depth estimation
Researchers are developing new methods and datasets for monocular depth estimation, a technique crucial for applications like augmented and virtual reality. New datasets such as MODEST are being created to provide high-…
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New solvers cut pose estimation complexity for multi-camera systems
Researchers have developed new, efficient minimal solvers for estimating the relative poses of multi-camera systems, crucial for applications like autonomous driving and robotics. These methods significantly reduce the …
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Spiking neural networks achieve energy-efficient LiDAR object detection
Researchers have developed a new spiking neural network (SNN) for object detection in autonomous driving using LiDAR data. This end-to-end network can process bird's eye view representations of point clouds, achieving h…