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Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
Our method requires only a small number of 3D points, that can be obtained from a low-cost, low-resolution sensor.
Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection
The whole study proposes a combination of spiked and normal convolution layers as an energy-efficient and reliable object detector model.
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars
The Adversarial Self-driving framework is applied to an image classification algorithm to improve the classification accuracy on perturbed images and is later applied to train a self-driving car to drive in a simulation.
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)
In recent times, the scope of LIDAR (Light Detection and Ranging) sensor-based technology has spread across numerous fields.
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