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Found 8 papers, 1 papers with code
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
TempCoBEV is an independent temporal module that seamlessly integrates into state-of-the-art camera-based cooperative perception models.
Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks
The results have shown that the data is realistic in terms of coherent radar reflections of the motorcycle and background noise based on the comparison of chirps, the RA maps and the object detection results.
VolNet: Estimating Human Body Part Volumes from a Single RGB Image
However VolNet, an architecture leveraging 2D and 3D pose estimation, body part segmentation and volume regression extracted from a single 2D RGB image combined with the subject's body height can be used to estimate the total body volume.
Ranked #1 on
Human Body Volume Estimation
on SURREALvols
Temporally coherent video anonymization through GAN inpainting
This work tackles the problem of temporally coherent face anonymization in natural video streams. We propose JaGAN, a two-stage system starting with detecting and masking out faces with black image patches in all individual frames of the video.
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
Obstacle avoidance is a fundamental and challenging problem for autonomous navigation of mobile robots.
Towards Self-Supervised High Level Sensor Fusion
In this paper, we present a framework to control a self-driving car by fusing raw information from RGB images and depth maps.
Latent Space Reinforcement Learning for Steering Angle Prediction
The control module trained with reinforcement learning takes the latent vector as input to predict the correct steering angle.
Semantic Label Reduction Techniques for Autonomous Driving
Semantic segmentation maps can be used as input to models for maneuvering the controls of a car.
