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 3901–3950 of 6092 papers

TitleStatusHype
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Learning to Drive Using Sparse Imitation Reinforcement Learning—0
Towards Model Generalization for Monocular 3D Object Detection—0
Flexible Diffusion Modeling of Long VideosCode1
PAC-Wrap: Semi-Supervised PAC Anomaly Detection—0
A Hierarchical MPC Approach to Car-Following via Linearly Constrained Quadratic Programming—0
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationCode0
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Towards biologically plausible Dreaming and Planning in recurrent spiking networksCode0
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
Emergent Visual Sensors for Autonomous Vehicles—0
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous DrivingCode1
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks—0
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability—0
UnPWC-SVDLO: Multi-SVD on PointPWC for Unsupervised Lidar Odometry—0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
PillarNet: Real-Time and High-Performance Pillar-based 3D Object DetectionCode2
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data—0
EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome—0
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
READ: Large-Scale Neural Scene Rendering for Autonomous DrivingCode2
NMR: Neural Manifold Representation for Autonomous Driving—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
STDC-MA Network for Semantic Segmentation—0
Efficient Risk-Averse Reinforcement LearningCode1
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey—0
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing—0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D QueriesCode2
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving—0
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers—0
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene EncodingCode1
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
Depth Estimation with Simplified Transformer—0
TJ4DRadSet: A 4D Radar Dataset for Autonomous DrivingCode2
Rotationally Equivariant 3D Object Detection—0
Control-Aware Prediction Objectives for Autonomous Driving—0
Dataset for Robust and Accurate Leading Vehicle Velocity Recognition—0
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame—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