SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1126–1150 of 2605 papers

TitleStatusHype
Autonomy 2.0: The Quest for Economies of Scale—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Addressing the IEEE AV Test Challenge with Scenic and VerifAI—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions—0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice—0
Analysis over vision-based models for pedestrian action anticipation—0
Developing Situational Awareness for Joint Action with Autonomous Vehicles—0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data—0
Deterministic Guided LiDAR Depth Map Completion—0
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Accurate Trajectory Prediction for Autonomous Vehicles—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Autonomous Vehicles for Ride-Hailing—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified