SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 2501–2550 of 2605 papers

TitleStatusHype
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression—0
Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems—0
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets—0
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems—0
A Bird's-eye View of Language Processing Projects at the Romanian Academy—0
Formal Security Analysis of Neural Networks using Symbolic IntervalsCode0
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation—0
Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks—0
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver HandsCode0
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning ComponentsCode0
Quantifying the Economic Case for Electric Semi-Trucks—0
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object DetectorCode0
Road Segmentation Using CNN with GRU—0
Probabilistic Prediction of Vehicle Semantic Intention and Motion—0
Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields—0
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles—0
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network ApproachCode0
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object ClassificationCode0
MIRIAM: A Multimodal Chat-Based Interface for Autonomous Systems—0
Localization under Topological Uncertainty for Lane Identification of Autonomous Vehicles—0
Multi-Agent Imitation Learning for Driving SimulationCode0
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering—0
Optimal Control of Autonomous Vehicles Approaching A Traffic Light—0
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARsCode0
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches—0
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice—0
An LSTM Network for Highway Trajectory Prediction—0
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction—0
Long-term Visual Localization using Semantically Segmented Images—0
A Computational Model of Commonsense Moral Decision Making—0
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models—0
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and LogosCode0
Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties—0
Approximate FPGA-based LSTMs under Computation Time Constraints—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes—0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections—0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Non-line-of-sight Imaging with Partial Occluders and Surface Normals—0
Predicting Scene Parsing and Motion Dynamics in the Future—0
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications—0
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection—0
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots—0
Flow: A Modular Learning Framework for Mixed Autonomy TrafficCode2
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies—0
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified