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 9761000 of 6092 papers

TitleStatusHype
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
CAROM Air -- Vehicle Localization and Traffic Scene Reconstruction from Aerial VideosCode1
InteractionNet: Joint Planning and Prediction for Autonomous Driving with TransformersCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler AnnotationsCode1
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research ProcessorCode1
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild ImagesCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
Intra-Source Style Augmentation for Improved Domain GeneralizationCode1
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming PerceptionCode1
Investigating Attention Mechanism in 3D Point Cloud Object DetectionCode1
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World AttacksCode1
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and ChallengesCode1
Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with CameraCode1
Lifelong Learning MetricsCode1
Iterative Patch Selection for High-Resolution Image RecognitionCode1
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-AttentionCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement LearningCode1
From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in VideoCode1
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous DrivingCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth EstimationCode1
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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