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

Showing 13511375 of 6092 papers

TitleStatusHype
HLA-Face: Joint High-Low Adaptation for Low Light Face DetectionCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Pedestrian 3D Bounding Box PredictionCode1
Perception Datasets for Anomaly Detection in Autonomous Driving: A SurveyCode1
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video SegmentationCode1
DeepReach: A Deep Learning Approach to High-Dimensional ReachabilityCode1
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic ViewCode1
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving ScenariosCode1
Panoptic Segmentation: A ReviewCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Human-Centric Autonomous Systems With LLMs for User Command ReasoningCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic TasksCode1
HVDetFusion: A Simple and Robust Camera-Radar Fusion FrameworkCode1
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic SegmentationCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
PanDepth: Joint Panoptic Segmentation and Depth CompletionCode1
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and AggregationCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Deep Federated Learning for Autonomous DrivingCode1
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic SegmentationCode1
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Benchmark Results

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