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Saxena's lab --- Autonomous Aerial Vehicles, vision-based obstacle avoidance

Autonomous Miniature Aerial Vehicles: Vision-based Obstacle Avoidance. Our algorithms, based on Make3D. Have enabled RC cars and MAVs to avoid obstacles using vision, and successfully navigate indoor and outdoor environments with a wide variety of obstacles (trees, buildings, poles, fences,.). Our learning algorithms map visual features from a single image into 3D depths using which the MAV plans a obstacle-free path online. Popular Press: Kurzweil AI. Ian Lenz, Mevlana Gemici. Assistant Professor, Compu...

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Saxena's lab --- Autonomous Aerial Vehicles, vision-based obstacle avoidance | drones.cs.cornell.edu Reviews

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Autonomous Miniature Aerial Vehicles: Vision-based Obstacle Avoidance. Our algorithms, based on Make3D. Have enabled RC cars and MAVs to avoid obstacles using vision, and successfully navigate indoor and outdoor environments with a wide variety of obstacles (trees, buildings, poles, fences,.). Our learning algorithms map visual features from a single image into 3D depths using which the MAV plans a obstacle-free path online. Popular Press: Kurzweil AI. Ian Lenz, Mevlana Gemici. Assistant Professor, Compu...

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2 saxena

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4 cornell

5 stanford

6 machine learning

7 artificial intelligence

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9 aerial robots

10 computer vision

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Saxena's lab --- Autonomous Aerial Vehicles, vision-based obstacle avoidance | drones.cs.cornell.edu Reviews

https://drones.cs.cornell.edu

Autonomous Miniature Aerial Vehicles: Vision-based Obstacle Avoidance. Our algorithms, based on Make3D. Have enabled RC cars and MAVs to avoid obstacles using vision, and successfully navigate indoor and outdoor environments with a wide variety of obstacles (trees, buildings, poles, fences,.). Our learning algorithms map visual features from a single image into 3D depths using which the MAV plans a obstacle-free path online. Popular Press: Kurzweil AI. Ian Lenz, Mevlana Gemici. Assistant Professor, Compu...

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Ashutosh Saxena --- Microsoft Faculty Fellow and Sloan Fellow, Computer Science, Cornell/Stanford University

http://www.cs.stanford.edu/people/asaxena/index.html

3D Perception and Manipulation. Alfred P. Sloan Fellow and Microsoft Faculty Fellow. Ashutosh Saxena is the Founder and CEO of a high-tech startup Brain of Things. If you're upto taking a new challenge in engineering, systems, robotics, deep learning, or computer vision, drop me a note at: asaxena at cs dot stanford dot edu. Previously, Ashutosh spent four years as an assistant professor in Computer Science Department at Cornell University, where he founded Robot Learning Lab. And Prof. Stephen Boyd.

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Autonomous Miniature Aerial Vehicles: Vision-based Obstacle Avoidance. Our algorithms, based on Make3D. Have enabled RC cars and MAVs to avoid obstacles using vision, and successfully navigate indoor and outdoor environments with a wide variety of obstacles (trees, buildings, poles, fences,.). Our learning algorithms map visual features from a single image into 3D depths using which the MAV plans a obstacle-free path online. Popular Press: Kurzweil AI. Ian Lenz, Mevlana Gemici. Assistant Professor, Compu...

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