ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.04516
  4. Cited By
Robust Traffic Light Detection Using Salience-Sensitive Loss:
  Computational Framework and Evaluations

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations

8 May 2023
Ross Greer
Akshay Gopalkrishnan
Jacob Landgren
Lulua Rakla
Anish Gopalan
Mohan M. Trivedi
ArXivPDFHTML

Papers citing "Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations"

10 / 10 papers shown
Title
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles
Tonko E. W. Bossen
Andreas Møgelmose
Ross Greer
24
0
0
15 Apr 2025
TLD-READY: Traffic Light Detection -- Relevance Estimation and
  Deployment Analysis
TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis
Nikolai Polley
Svetlana Pavlitska
Yacin Boualili
Patrick Rohrbeck
Paul Stiller
Ashok Kumar Bangaru
J. Marius Zöllner
23
1
0
11 Sep 2024
Comparison of Model Predictive Control and Proximal Policy Optimization
  for a 1-DOF Helicopter System
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
Georg Schäfer
Jakob Rehrl
Stefan Huber
Simon Hirlaender
26
2
0
28 Aug 2024
Perception Without Vision for Trajectory Prediction: Ego Vehicle
  Dynamics as Scene Representation for Efficient Active Learning in Autonomous
  Driving
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving
Ross Greer
Mohan M. Trivedi
21
2
0
15 May 2024
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
Ross Greer
Bjørk Antoniussen
Andreas Møgelmose
Mohan M. Trivedi
28
10
0
19 Apr 2024
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question
  Answering in Autonomous Driving
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving
Akshay Gopalkrishnan
Ross Greer
Mohan M. Trivedi
VLM
41
21
0
28 Mar 2024
Towards Explainable, Safe Autonomous Driving with Language Embeddings
  for Novelty Identification and Active Learning: Framework and Experimental
  Analysis with Real-World Data Sets
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets
Ross Greer
Mohan M. Trivedi
24
18
0
11 Feb 2024
ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object
  Detection
ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
Ahmed Ghita
Bjørk Antoniussen
Walter Zimmer
Ross Greer
Christian Creß
Andreas Møgelmose
Mohan M. Trivedi
Alois C. Knoll
3DPC
22
17
0
05 Feb 2024
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D
  Object Detection for Safe Autonomous Driving: An Empirical Exploration
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Ross Greer
Bjørk Antoniussen
M. V. Andersen
Andreas Møgelmose
Mohan M. Trivedi
3DPC
20
18
0
30 Jan 2024
Traffic Light Recognition using Convolutional Neural Networks: A Survey
Traffic Light Recognition using Convolutional Neural Networks: A Survey
Svetlana Pavlitska
Nico Lambing
Ashok Kumar Bangaru
J. Marius Zöllner
15
5
0
05 Sep 2023
1