Fast shadow detection for urban autonomous driving applications by Park, Sooho, Lim, Sejoon

“…This paper presents shadow detection methods for vision-based autonomous driving in an urban environment. Shadows misclassified as objects create problems in autonomous driving applications. …”
Get full text

Compositional and Contract-based Verification for Autonomous Driving on Road Networks by DeCastro, Jonathan, Alonso-Mora, Javier, Liebenwein, Lucas, Schwarting, Wilko, Vasile, Cristian-Ioan, Karaman, Sertac, Rus, Daniela L

“…Recent advances in autonomous driving have raised the problem of safety to the forefront and incentivized research into establishing safety guarantees. …”
Get full text
Get full text
Get full text
Get full text

Probabilistic lane estimation for autonomous driving using basis curves by Huang, Albert S., Teller, Seth

“…Lane estimation for autonomous driving can be formulated as a curve estimation problem, where local sensor data provides partial and noisy observations of spatial curves forming lane boundaries. …”
Get full text

CarSpeak: a content-centric network for autonomous driving by Suresh Kumar, Swarun, Shi, Lixin, Ahmed, Nabeel, Gil, Stephanie, Katabi, Dina, Rus, Daniela L.

“…This paper introduces CarSpeak, a communication system for autonomous driving. CarSpeak enables a car to query and access sensory information captured by other cars in a manner similar to how it accesses information from its local sensors. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing by Amini, Alexander, Araki, Brandon, Rus, Daniela, Schwarting, Wilko, Rosman, Guy, Karaman, Sertac, Rus, Daniela L

“…This paper introduces a new method for end-to-end training of deep neural networks (DNNs) and evaluates it in the context of autonomous driving. DNN training has been shown to result in high accuracy for perception to action learning given sufficient training data. …”
Get full text
Get full text
Get full text
Get full text

Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation by Amini, Alexander A, Gilitschenski, Igor, Phillips, Jacob, Moseyko, Julia, Banerjee, Rohan, Karaman, Sertac, Rus, Daniela L

Get full text

Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps by Ort, Teddy, Paull, Liam, Rus, Daniela

“…State-of-the-art autonomous driving systems rely heavily on detailed and highly accurate prior maps. …”
Get full text

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling by Huang, Xin, McGill, Stephen G, DeCastro, Jonathan A, Fletcher, Luke, Leonard, John J, Williams, Brian C, Rosman, Guy

“…Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant systems. …”
Get full text

Computer Vision Analysis of Intraoperative Video: Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy by Hashimoto, Daniel A, Rosman, Guy, Witkowski, Elan R, Stafford, Caitlin, Navarette-Welton, Allison J, Rattner, David W, Lillemoe, Keith D, Rus, Daniela L, Meireles, Ozanan R

“…Objective(s):To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG).Background:Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by computers for identification of objects and patterns, such as in autonomous driving.Methods:Intraoperative video from LSG from an academic institution was annotated by 2 fellowship-Trained, board-certified bariatric surgeons. …”
Get full text

TIP: Task-Informed Motion Prediction for Intelligent Vehicles by Huang, Xin, Rosman, Guy, Jasour, Ashkan, McGill, Stephen G., Leonard, John J., Williams, Brian C.

Get full text

Probabilistic Lane Estimation using Basis Curves by Huang, Albert S., Teller, Seth

“…Lane estimation for autonomous driving can be formulated as a curve estimation problem, where local sensor data provides partial and noisy observations of spatial curves. …”
Get full text

Learning Steering Bounds for Parallel Autonomous Systems by Amini, Alexander A, Paull, Liam, Balch, Thomas M, Karaman, Sertac, Rus, Daniela L

“…Deep learning has been successfully applied to “end-to-end” learning of the autonomous driving task, where a deep neural network learns to predict steering control commands from camera data input. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Robotic load balancing for mobility-on-demand systems by Frazzoli, Emilio, Rus, Daniela L., Pavone, Marco, Smith, Stephen L.

“…We propose a robotic solution to this rebalancing problem that involves empty robotic vehicles autonomously driving between stations. Specifically, we utilize a fluid model for the customers and vehicles in the system. …”
Get full text
Get full text
Get full text