Anshul Paigwar
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View article: MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs
MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs Open
International audience
View article: Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning Open
Reliably predicting future occupancy of highly dynamic urban environments is\nan important precursor for safe autonomous navigation. Common challenges in the\nprediction include forecasting the relative position of other vehicles,\nmodelli…
View article: Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning Open
Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation. Common challenges in the prediction include forecasting the relative position of other vehicles, modelling …
View article: Using Formal Conformance Testing to Generate Scenarios for Autonomous Vehicles
Using Formal Conformance Testing to Generate Scenarios for Autonomous Vehicles Open
International audience
View article: Real-time Collision Risk Estimation based on Stochastic Reachability Spaces
Real-time Collision Risk Estimation based on Stochastic Reachability Spaces Open
International audience
View article: Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR Open
International audience
View article: STADIE-Net: Stagewise Disparity Estimation from Stereo Event-based Cameras
STADIE-Net: Stagewise Disparity Estimation from Stereo Event-based Cameras Open
International audience
View article: GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles Open
International audience
View article: Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking
Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking Open
International audience
View article: Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking
Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking Open
A crucial aspect that automotive systems need to face before being used in everyday life is the validation of their components. To this end, standard exhaustive methods are inappropriate to validate the probabilistic algorithms widely used…
View article: Formal Validation of Probabilistic Collision Risk Estimation for Autonomous Driving
Formal Validation of Probabilistic Collision Risk Estimation for Autonomous Driving Open
International audience
View article: Attentional PointNet for 3D-Object Detection in Point Clouds
Attentional PointNet for 3D-Object Detection in Point Clouds Open
International audience
View article: Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking
Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking Open
Automotive systems must undergo a strict process of validation before their release on commercial vehicles. With the increased use of probabilistic approaches in autonomous systems, standard validation methods are not applicable to this en…
View article: Attention Network for 3D Object Detection in Point Clouds
Attention Network for 3D Object Detection in Point Clouds Open
Accurate detection of objects in 3D point clouds is a central problem for autonomous navigation. Most existing methods use techniques of handcrafted features representation or multi-modal approaches prone to sensor failure. Approaches like…
View article: Ground estimation and point cloud segmentation using SpatioTemporal Conditional Random Field
Ground estimation and point cloud segmentation using SpatioTemporal Conditional Random Field Open
International audience