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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2601–2625 of 6092 papers

TitleStatusHype
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning—0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving—0
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving—0
Human Action Recognition and Prediction: A Survey—0
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition—0
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
HisTrackMap: Global Vectorized High-Definition Map Construction via History Map Tracking—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving—0
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference—0
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface—0
Affordance as general value function: A computational model—0
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios—0
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents—0
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning—0
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions—0
Intelligent machines work in unstructured environments by differential neuromorphic computing—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