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 30513075 of 6092 papers

TitleStatusHype
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution0
Metasurface-Enabled Multifunctional Single-Frequency Sensors without External Power0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks0
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving0
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow0
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks0
FogGuard: guarding YOLO against fog using perceptual lossCode0
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving0
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
On depth prediction for autonomous driving using self-supervised learning0
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue0
JointMotion: Joint Self-Supervision for Joint Motion Prediction0
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves0
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks0
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation0
Generalizing Cooperative Eco-driving via Multi-residual Task Learning0
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving0
Levels of AI Agents: from Rules to Large Language Models0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator0
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving0
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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