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 1401–1450 of 6092 papers

TitleStatusHype
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
Multi-source Domain Adaptation for Semantic SegmentationCode1
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
Development of a hand pose recognition system on an embedded computer using Artificial IntelligenceCode1
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory PredictionCode1
Talk2Car: Taking Control of Your Self-Driving CarCode1
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous DrivingCode1
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural NetworkCode1
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous DrivingCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering BandwidthCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionCode1
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation LearningCode1
Model-free Deep Reinforcement Learning for Urban Autonomous DrivingCode1
Group-wise Correlation Stereo NetworkCode1
Unsupervised Traffic Accident Detection in First-Person VideosCode1
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous DrivingCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
Guiding Deep Learning System Testing using Surprise AdequacyCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
The ApolloScape Open Dataset for Autonomous Driving and its ApplicationCode1
Predicting Driver Attention in Critical SituationsCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
MultiNet: Real-time Joint Semantic Reasoning for Autonomous DrivingCode1
Characterizing Driving Styles with Deep LearningCode1
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous DrivingCode0
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework—0
Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models—0
LaViPlan : Language-Guided Visual Path Planning with RLVR—0
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving—0
Channel-wise Motion Features for Efficient Motion Segmentation—0
Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers—0
Safeguarding Federated Learning-based Road Condition Classification—0
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation—0
A Survey on Interpretability in Visual Recognition—0
3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving—0
LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learningCode0
Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance—0
Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT—0
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision—0
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving—0
Towards Solar Altitude Guided Scene Illumination—0
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting—0
TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems—0
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World ModelsCode0
FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model—0
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
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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