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 58015850 of 6092 papers

TitleStatusHype
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical SystemsCode0
Loss-Calibrated Approximate Inference in Bayesian Neural NetworksCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
A Comprehensive LLM-powered Framework for Driving Intelligence EvaluationCode0
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsCode0
Exploring Adversarial Attacks on Neural Networks: An Explainable ApproachCode0
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous VehicleCode0
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
Exploit the Connectivity: Multi-Object Tracking with TrackletNetCode0
Deep Imitative Models for Flexible Inference, Planning, and ControlCode0
SpaRC: Sparse Radar-Camera Fusion for 3D Object DetectionCode0
Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic SegmentationCode0
Topology-Guided Knowledge Distillation for Efficient Point Cloud ProcessingCode0
Deep Depth Estimation From Thermal ImageCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial PerturbationsCode0
Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point CloudsCode0
Long Term Motion Prediction Using KeyposesCode0
3D Fully Convolutional Network for Vehicle Detection in Point CloudCode0
6D-VNet: End-to-end 6DoF Vehicle Pose Estimation from Monocular RGB ImagesCode0
Decision-making and control with diffractive optical networksCode0
DC-Scene: Data-Centric Learning for 3D Scene UnderstandingCode0
Where and What: Driver Attention-based Object DetectionCode0
Sparse Prototype Network for Explainable Pedestrian Behavior PredictionCode0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDARCode0
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World ModelCode0
Explanation-Aware Experience Replay in Rule-Dense EnvironmentsCode0
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point CloudsCode0
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous DrivingCode0
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosCode0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuantCode0
An Adaptive Black-box Backdoor Detection Method for Deep Neural NetworksCode0
Verifiable Goal Recognition for Autonomous Driving with OcclusionsCode0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping TasksCode0
Verifiable Obstacle DetectionCode0
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D ImagesCode0
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy EvaluationCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic SegmentationCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a CarCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
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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