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 14511475 of 6092 papers

TitleStatusHype
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
PeerNets: Exploiting Peer Wisdom Against Adversarial AttacksCode0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision RuleCode0
Pedestrian motion prediction evaluation for urban autonomous drivingCode0
3D Fully Convolutional Network for Vehicle Detection in Point CloudCode0
Pedestrian Collision Avoidance System for Scenarios with OcclusionsCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
CARLA: An Open Urban Driving SimulatorCode0
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous DrivingCode0
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer OptimizationCode0
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity AnalysisCode0
Part-Whole Relational Fusion Towards Multi-Modal Scene UnderstandingCode0
Patch-Wise Point Cloud Generation: A Divide-and-Conquer ApproachCode0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
Parallel Detection for Efficient Video Analytics at the EdgeCode0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Predicting Model Failure using Saliency Maps in Autonomous Driving SystemsCode0
Pair-wise Layer Attention with Spatial Masking for Video PredictionCode0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
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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