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 5701–5725 of 6092 papers

TitleStatusHype
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoTCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
Deep traffic light detection by overlaying synthetic context on arbitrary natural imagesCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D FeedforwardCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Simple yet efficient real-time pose-based action recognitionCode0
Focal Loss in 3D Object DetectionCode0
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point CloudsCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under UncertaintyCode0
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic NavigationCode0
CARLA: An Open Urban Driving SimulatorCode0
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationCode0
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous DrivingCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental SafetyCode0
Model-Agnostic Defense for Lane Detection against Adversarial AttackCode0
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning ComponentsCode0
Simulation-based reinforcement learning for real-world autonomous drivingCode0
Two is Better Than One: Digital Siblings to Improve Autonomous Driving TestingCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Two-Stream AMTnet for Action DetectionCode0
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban EnvironmentsCode0
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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