Publications | Research

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Autonomous Vehicles

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2021

Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs

Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao

MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation

Xinshuo Weng, Boris Ivanovic, Marco Pavone

CVPR

Sample-Efficient Safety Assurances using Conformal Prediction

Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices

Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao

Binary TTC: A Temporal Geofence for Autonomous Navigation

Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen

Best Student Paper Honorable Mention, CVPR 2021

Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles

Vasu Singh, Siva Hari, Timothy Tsai, Mandar Pitale

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

2018

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors

Saurabh Jha, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Steve Keckler, Ravishankar K. Iyer

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield

CVPR