SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 1101–1150 of 6092 papers

TitleStatusHype
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic ContradictionCode1
Lifelong Learning MetricsCode1
Attention-based Proposals Refinement for 3D Object DetectionCode1
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous DrivingCode1
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Lane Change Decision-Making through Deep Reinforcement LearningCode1
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving PoliciesCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured RoadsCode1
Causal Imitative Model for Autonomous DrivingCode1
SGM3D: Stereo Guided Monocular 3D Object DetectionCode1
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by NormalizationCode1
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle DroppingCode1
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior PredictionCode1
Human Performance Capture from Monocular Video in the WildCode1
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the WildCode1
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic SegmentationCode1
Panoptic Segmentation: A ReviewCode1
Learning Robust Output Control Barrier Functions from Safe Expert DemonstrationsCode1
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with CameraCode1
Multimodal Virtual Point 3D DetectionCode1
Optimized adaptive MPC for lateral control of autonomous vehiclesCode1
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from VisionCode1
Does Thermal data make the detection systems more reliable?Code1
Which priors matter? Benchmarking models for learning latent dynamicsCode1
Neural Scene Flow PriorCode1
Robustness via Uncertainty-aware Cycle ConsistencyCode1
A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingCode1
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic SegmentationCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
Deep Federated Learning for Autonomous DrivingCode1
Camera Calibration through Camera Projection LossCode1
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
SVG-Net: An SVG-based Trajectory Prediction ModelCode1
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous DrivingCode1
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingCode1
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosCode1
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNsCode1
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous DrivingCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
NEAT: Neural Attention Fields for End-to-End Autonomous DrivingCode1
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified