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 651–675 of 2605 papers

TitleStatusHype
Analysis over vision-based models for pedestrian action anticipation—0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data—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
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Autonomous Vehicles for Ride-Hailing—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
ADCNet: Learning from Raw Radar Data via Distillation—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections—0
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
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Benchmark Results

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