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 4151–4200 of 6092 papers

TitleStatusHype
Context-Aware Scene Prediction Network (CASPNet)—0
Attention-based Proposals Refinement for 3D Object DetectionCode1
Contextual road lane and symbol generation for autonomous driving—0
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images—0
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning—0
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection—0
Potential Game-Based Decision-Making for Autonomous Driving—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm—0
STIR^2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks—0
Pedestrian Detection: Domain Generalization, CNNs, Transformers and BeyondCode2
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing—0
Radar^2: Passive Spy Radar Detection and Localization using COTS mmWave Radar—0
Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives—0
Extending One-Stage Detection with Open-World Proposals—0
TransVPR: Transformer-based place recognition with multi-level attention aggregation—0
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous DrivingCode1
Deep Reinforcement Learning, a textbook—0
Novelty-based Generalization Evaluation for Traffic Light Detection—0
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges—0
Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction—0
LSVC: A Learning-Based Stereo Video Compression Framework—0
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
AutoMine: An Unmanned Mine Dataset—0
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
Unifying Panoptic Segmentation for Autonomous Driving—0
BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement—0
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection—0
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
An Intelligent Self-driving Truck System For Highway TransportationCode0
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Few-shot Backdoor Defense Using Shapley Estimation—0
Pose Estimation of Specific Rigid Objects—0
Multi-Adversarial Safety Analysis for Autonomous Vehicles—0
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
An Empirical Study of Adder Neural Networks for Object Detection—0
Adversarial Attack for Asynchronous Event-based Data—0
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles—0
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects—0
A Survey on Interpretable Reinforcement Learning—0
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
Lane Change Decision-Making through Deep Reinforcement LearningCode1
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—0
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving—0
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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