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09/07/2023
PBP: Path-based Trajectory Prediction for Autonomous Driving
Trajectory prediction plays a crucial role in the autonomous driving sta...
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01/14/2023
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction
To make safe transitions from autonomous to manual control, a vehicle mu...
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01/14/2023
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context
Detecting road traffic signs and accurately determining how they can aff...
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12/02/2021
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset
Safe path planning in autonomous driving is a complex task due to the in...
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07/27/2021
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Understanding occupant-vehicle interactions by modeling control transiti...
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06/28/2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Accurately predicting the future motion of surrounding vehicles requires...
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04/23/2021
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
With increasing automation in passenger vehicles, the study of safe and ...
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11/12/2020
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
Predicting a vehicle's trajectory is an essential ability for autonomous...
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05/06/2020
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation
Predicting the trajectories of surrounding agents is an essential abilit...
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05/06/2020
Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving
For autonomous vehicles to navigate in urban environment, the ability to...
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01/03/2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
In this paper, we address the problem of forecasting agent trajectories ...
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09/16/2019
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
Forecasting long-term human motion is a challenging task due to the non-...
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05/23/2019
Scene Induced Multi-Modal Trajectory Forecasting via Planning
We address multi-modal trajectory forecasting of agents in unknown scene...
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05/14/2019
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
Pedestrians and vehicles often share the road in complex inner city traf...
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11/14/2018
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness
Continuous estimation the driver's take-over readiness is critical for s...
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07/30/2018
Audio segmentation based on melodic style with hand-crafted features and with convolutional neural networks
We investigate methods for the automatic labeling of the taan section, a...
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05/15/2018
Convolutional Social Pooling for Vehicle Trajectory Prediction
Forecasting the motion of surrounding vehicles is a critical ability for...
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05/15/2018
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
To safely and efficiently navigate through complex traffic scenarios, au...
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01/19/2018
