Introducing the new leads for the 2021-2022 aUToronto team.
Meet Amy Chen, an EngSci 2T3 student at UofT and is the co-lead of the Simulation and Testing team which supports the testing and validation of the vehicle. When she is not finding ways to "break" the car (in simulation of course), you can find her watching movies, annoying her brother, and munching on something tasty.
Swipe to hear from her!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Deepanshu Bansal, a first year MEng student at UTIAS. He heads the planning team at aUToronto. He has worked in a diverse range of robotic applications involving autonomous underwater vehicles, mobile robotics and robot manipulators. He received his B-Tech degree in Electrical Engineering in 2020 from Delhi Technological University, India.
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Jennifer Kong, an EngSci 2T1 + PEY student specializing in the robotics option at UofT. She is passionate about robots and autonomous driving, and is excited to spearhead the effort in learning how we can use ROS2 throughout aUToronto’s self-driving car. In her spare time, she enjoys movies and board games.
Swipe to hear from her!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Sandro Papais, an MASc Candidate at Toronto Robotics and AI Laboratory. His current research focuses on object detection and tracking for autonomous driving. He received his Bachelor of Engineering in Mechanical Engineering from McGill University in 2019. Before graduate studies he worked in industry developing software for autonomous spacecraft and VTOL aircraft applications including visual navigation, path planning, control systems, and physics-based simulators.
Swipe to hear from him!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Tao (Neil) Zhong, an EngSci 2T2 + PEY student at UofT. He is co-leading the mapping team which is responsible for creating the global map for aUToronto’s autonomous vehicle. The responsibility ranges from building and maintaining our internal map conversion pipelines to refining map features based on other sub-teams feedback. The localization sub-team is responsible for developing a global localization solution that does not require GPS. The work includes surveying cutting-edge localization solutions and implementing a complete localization pipeline on the vehicle.
Swipe to hear from him!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Ali Seifeldin, an EngSci 2T1 + PEY student at UofT. Currently his team is working on implementing some cool stuff such as an emergency brake system, radar camera fusion and object detection. He says it’s always a fun challenge to learn new things and apply them on Zeus. These days Ali is trying to perfect his ice cream making skills so hit him up if you wanna try some!
Swipe to hear from him!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Bingqing (Selina) Wan, an EngSci 2T2 + PEY student at UofT. She is co-leading the Mapping and Localization sub-teams this year, whose role is to develop accurate global maps and the GPS denied system for Zeus. She is interested in exploring state-of-the-art SLAM algorithms!
Swipe to hear from her!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Tiffany Yau, an Engineering Science student in the Robotics Major option at UofT. This year she will be leading her team's efforts in predicting the behaviour (trajectory, action) of road users. Outside of aUToronto and school, you can probably find her baking 👩🍳 or playing piano 🎹!
Swipe to hear from her!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Justin Bauer, a third year Computer Engineering student at UofT interested in Software Engineering, Autonomous Vehicles, Artificial Intelligence, Robotics, and Cloud Computing. This year, he is the lead of the Object Tracking team responsible for developing the aUToTrack pipeline. Learning new skills and working on innovative projects excites him and he is always open to new opportunities.
Swipe to hear from him!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
Introducing the new leads for the 2021-2022 aUToronto team.
Meet Jason Zhou, a first year MASc student at UTIAS. At 3D Object Detection, his task is to leverage various on-board sensors to accurately detect different types of road users (e.g. cars, vans, cyclists, pedestrians) and infer their 3D locations. As an EngSci robotics grad and a master student, he will lead the team by bringing together his computer vision research experience and software development skills to the design and implementation of the 3D object detector.
Swipe to hear from him!
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#meettheteam #autoronto #uoft #explorepage #selfdriving #selfdrivingcars #sae
