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 1301–1325 of 2605 papers

TitleStatusHype
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection—0
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Adversarial Examples: Opportunities and Challenges—0
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems—0
Adversarial Patterns: Building Robust Android Malware Classifiers—0
Adversarial Plannning—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems—0
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception—0
Aerial Imagery based LIDAR Localization for Autonomous Vehicles—0
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field—0
Affine Disentangled GAN for Interpretable and Robust AV Perception—0
Affordance Learning In Direct Perception for Autonomous Driving—0
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving—0
A Framework for Estimating Long Term Driver Behavior—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized—0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes—0
Age and gender bias in pedestrian detection algorithms—0
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles—0
A Generic Framework for Clustering Vehicle Motion Trajectories—0
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Benchmark Results

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