540 results on '"Christian Laugier"'
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2. Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps.
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3. A Navigation-Based Evaluation Metric for Probabilistic Occupancy Grids: Pathfinding Cost Mean Squared Error.
4. From Probabilistic Occupancy Grids to versatile Collision Avoidance using Predictive Collision Detection.
5. Interaction-aware Predictive Collision Detector for Human-aware Collision Avoidance.
6. LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction.
7. BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autononomous Driving.
8. Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps.
9. Minimal Injury Risk Motion Planning Using Active Mitigation and Sampling Model Predictive Control.
10. MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs.
11. Augmented Reality on LiDAR data: Going beyond Vehicle-in-the-Loop for Automotive Software Validation.
12. Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning.
13. Using Formal Conformance Testing to Generate Scenarios for Autonomous Vehicles.
14. Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks.
15. TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction.
16. A cross-prediction, hidden-state-augmented approach for Dynamic Occupancy Grid filtering.
17. LAPTNet: LiDAR-Aided Perspective Transform Network.
18. Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions.
19. Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks.
20. TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation-Aided Motion Planning.
21. LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction.
22. Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR.
23. Real-time Collision Risk Estimation based on Stochastic Reachability Spaces.
24. GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids.
25. YOLO-based Panoptic Segmentation Network.
26. GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles.
27. Employing Severity of Injury to Contextualize Complex Risk Mitigation Scenarios.
28. Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking.
29. Recognize Moving Objects Around an Autonomous Vehicle Considering a Deep-learning Detector Model and Dynamic Bayesian Occupancy.
30. Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles.
31. Leveraging Dynamic Occupancy Grids for 3D Object Detection in Point Clouds.
32. Vehicle Localization Based on Visual Lane Marking and Topological Map Matching.
33. LAPTNet: LiDAR-Aided Perspective Transform Network.
34. Verifying Collision Risk Estimation using Autonomous Driving Scenarios Derived from a Formal Model.
35. Driving Behavior Assessment and Anomaly Detection for Intelligent Vehicles.
36. Formal Validation of Probabilistic Collision Risk Estimation for Autonomous Driving.
37. Human-Like Decision-Making for Automated Driving in Highways.
38. Attentional PointNet for 3D-Object Detection in Point Clouds.
39. Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking.
40. Semantic Segmentation With Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles.
41. Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach.
42. Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks.
43. Probabilistic Decision-Making at Road Intersections: Formulation and Quantitative Evaluation.
44. Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices.
45. Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features.
46. End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids.
47. Interaction-aware driver maneuver inference in highways using realistic driver models.
48. Classification of drivers manoeuvre for road intersection crossing with synthethic and real data.
49. Ground estimation and point cloud segmentation using SpatioTemporal Conditional Random Field.
50. XDvision: Dense outdoor perception for autonomous vehicles.
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