Towards Autonomous Grading In The Real World

no code implementations • 13 Jun 2022 • Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro

As the heuristics are capable of successfully solving the task in the simulated environment, we show they can be leveraged to guide a learning agent which can generalize and solve the task both in simulation and in a scaled prototype environment.

AGPNet -- Autonomous Grading Policy Network

no code implementations • 20 Dec 2021 • Chana Ross, Yakov Miron, Yuval Goldfracht, Dotan Di Castro

In this work, we establish heuristics and learning strategies for the autonomous control of a dozer grading an uneven area studded with sand piles.

Contrastive Learning reinforcement-learning +1

BIDCD -- Bosch Industrial Depth Completion Dataset

no code implementations • 10 Aug 2021 • Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro

We introduce BIDCD -- the Bosch Industrial Depth Completion Dataset.

Depth Completion Domain Adaptation +1

S-Flow GAN

no code implementations • ICLR 2020 • Yakov Miron, Yona Coscas

Our work offers a new method for domain translation from semantic label maps and Computer Graphic (CG) simulation edge map images to photo-realistic images.

Generative Adversarial Network Translation